[{"_1":2,"_8050":-5,"_8051":-5},"loaderData",{"_3":4,"_244":245},"root",{"_5":6,"_7":8,"_226":227},"ua","Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","data",{"_9":10,"_118":119,"_135":136},"footer",{"_11":12,"_13":9,"_14":15,"_16":9,"_17":18,"_19":20,"_27":28,"_104":105},"_createdAt","2022-05-17T11:04:58Z","_id","_rev","rROGsNu2aOWyG6N46TlATL","_type","_updatedAt","2025-08-13T23:00:00Z","emailSubscription",{"_21":22,"_23":24,"_25":26},"description","Unlock success from technical pioneers in software infrastructure. We send the best strategies, tools, and industry updates directly to your inbox.","targetURL","https://share.hsforms.com/1_KYaR4lAQm-C8_9H7r4MIwqdoyu","title","Stay in the loop","footerColumns",[29,61,85],{"_30":31,"_16":32,"_33":34,"_35":36,"_42":59,"_25":60},"_key","30a87ef6e7c1","footerColumn","heading","About","items",[37,45,50,55],{"_30":38,"_16":39,"_40":41,"_42":43,"_25":44},"3dfef1283ab5","footerLink","label","Portfolio","link","/portfolio","Navigate to portfolio page",{"_30":46,"_16":39,"_40":47,"_42":48,"_25":49},"42666d0b3987","Team","/team","Navigate to team page",{"_30":51,"_16":39,"_40":52,"_42":53,"_25":54},"398a9b50e214","News","/press","Navigate to press page",{"_30":56,"_16":39,"_40":57,"_42":58,"_25":57},"6df053133fb8","Apply","https://heavybit.typeform.com/to/tP7Lh7","/about","Navigate to about page",{"_30":62,"_16":32,"_33":63,"_35":64,"_42":83,"_25":84},"a584a6acf07b","Community",[65,69,74,79],{"_30":66,"_16":39,"_40":67,"_42":68,"_25":67},"4358699f4ca4","Events","/events",{"_30":70,"_16":39,"_40":71,"_42":72,"_25":73},"e2d5641ef7de","DevGuild","https://www.heavybit.com/devguild","Navigate to devguild page",{"_30":75,"_16":39,"_40":76,"_42":77,"_25":78},"feb038ce46a1","Jobs","/jobs","Portfolio Company Jobs",{"_30":80,"_16":39,"_40":81,"_42":82,"_25":81},"e22bfa6b2330","Inclusion","/community/diversity-and-inclusion","https://www.heavybit.com/community","Navigate to community page",{"_30":86,"_16":32,"_33":87,"_35":88,"_42":92,"_25":103},"ea618aa34610","Library",[89,94,99],{"_30":90,"_16":39,"_40":91,"_42":92,"_25":93},"c82a64edc4dd","Blog","https://www.heavybit.com/library/","Navigate to browse on library page",{"_30":95,"_16":39,"_40":96,"_42":97,"_25":98},"e1673433290e","Podcast Network","https://www.heavybit.com/library/podcasts","Navigate to podcasts page",{"_30":100,"_16":39,"_40":101,"_42":102,"_25":101},"96a97ceba3a2","DevToolsDigest","https://www.heavybit.com/devtoolsdigest","Navigate to library page","socialMedia",[106],{"_30":107,"_108":109,"_116":117},"ee025c96397c","icon",{"_16":110,"_111":112},"mainImage","asset",{"_113":114,"_16":115},"_ref","image-9d618da0948299428b29e5d499af3fa5369a24d2-20x20-svg","reference","url","https://twitter.com/heavybit","globalConfig",{"_120":121,"_11":125,"_13":118,"_14":126,"_127":128,"_16":118,"_17":134},"OGimage",{"_16":122,"_111":123},"image",{"_113":124,"_16":115},"image-32fdfae4fd13b8f9a3c5bf6b13a635068cb0ecbb-1332x529-png","2022-05-17T11:15:28Z","RDgKg7yO6ZYtH7Ot8nWSxU","_system",{"_129":130},"base",{"_131":118,"_132":133},"id","rev","2ZxAYmIihJuAs2TKuKQs3J","2025-08-19T13:26:15Z","header",{"_11":137,"_13":135,"_14":15,"_16":135,"_17":18,"_138":139,"_149":150},"2022-05-17T11:04:33Z","announcementBar",{"_140":141,"_142":143,"_144":145,"_146":147,"_116":148},"buttonText","Read Now","show",true,"start","2025-07-08T13:00:00.000Z","text","Why Heavybit raised its largest fund to date","https://heavybit.com/press/heavybit-reinventing-enterprise-infrastructure","headerNavLinks",[151,171,181,194,222],{"_30":152,"_16":153,"_154":143,"_155":156,"_40":34,"_42":59,"_169":170,"_25":60},"a8d641babed2","navLink","addDropdown","dropdown",[157,160,165,167],{"_30":158,"_16":159,"_40":47,"_42":48,"_25":49},"964627410473","dropdownLink",{"_30":161,"_16":159,"_40":162,"_42":163,"_25":164},"3d279775d73b","FAQ","/faq","Navigate to FAQ page",{"_30":166,"_16":159,"_40":52,"_42":53,"_25":54},"84e68f9f5c33",{"_30":168,"_16":159,"_40":57,"_42":58,"_25":57},"716c250fe888","mobileOnly",false,{"_30":172,"_16":153,"_154":143,"_155":173,"_40":41,"_42":43,"_169":170,"_25":44},"90b68b861c06",[174,179],{"_30":175,"_16":159,"_40":176,"_42":177,"_25":178},"d481fcbbd3af","Spotlights","/portfolio/spotlights","Navigate to spotlights page",{"_30":180,"_16":159,"_40":76,"_42":77,"_25":78},"e50fa43ad2e7",{"_30":182,"_16":153,"_154":143,"_155":183,"_40":63,"_42":193,"_169":170,"_25":84},"716b76469486",[184,186,190],{"_30":185,"_16":159,"_40":67,"_42":68,"_25":67},"3a177efc4649",{"_30":187,"_16":159,"_40":188,"_42":189,"_25":188},"1fb7c9c465d0","Advisors","/community/advisors",{"_30":191,"_16":159,"_40":71,"_42":192,"_25":73},"23077fca0e2f","/devguild","/community",{"_30":195,"_16":153,"_154":143,"_155":196,"_40":87,"_42":221,"_169":170,"_25":103},"4bec0dd665d4",[197,202,207,210,214,218],{"_30":198,"_16":159,"_40":199,"_42":200,"_25":201},"63e48d609548","Articles","/library?filter=articles","Read educational articles in Heavybit's Library",{"_30":203,"_16":159,"_40":204,"_42":205,"_25":206},"6526c69f5260","Videos","/library?filter=videos","Watch educational videos in Heavybit's Library",{"_30":208,"_16":159,"_40":96,"_42":209,"_25":98},"1f3fb936f3b9","/library/podcasts",{"_30":211,"_16":159,"_40":212,"_42":213,"_25":212},"ac06751f0372","Collections","/library/collections",{"_30":215,"_16":159,"_40":216,"_42":217,"_25":216},"2ead3bd14715","Reports","/reports",{"_30":219,"_16":159,"_40":101,"_42":220,"_25":101},"66773779036c","/devtoolsdigest","/library",{"_30":223,"_16":153,"_154":170,"_40":224,"_42":53,"_169":143,"_25":225},"3702498a502c","Contact","Navigate to contact page","ENV",{"_228":229,"_230":231,"_232":233,"_234":235,"_236":237,"_238":239,"_240":241,"_242":229,"_243":229},"SANITY_DATASET","production","ALGOLIA_INDEX","heavybit-library","ALGOLIA_APPLICATION_ID","0QCKBC1FMK","ALGOLIA_SITEWIDE_INDEX","heavybit-sitewide","ALGOLIA_JOBS_INDEX","heavybit-jobs","MUX_ENV_KEY","dRI98bL8ze03gYDL6-Ogle2Js","ALGOLIA_SEARCH_API_KEY","7733fdd199ec7af7ee2923ec39c3f036","MODE","VITE_CONTEXT","routes/library.video.$slug",{"_7":246,"_8048":170,"_8049":-5,"_303":3447},{"_247":248},"routeData",{"_11":249,"_13":250,"_14":251,"_16":252,"_17":253,"_254":255,"_256":143,"_257":-5,"_258":259,"_260":-5,"_261":262,"_263":264,"_280":281,"_282":283,"_3415":-5,"_3416":3417,"_3424":3425,"_3434":3435,"_301":262,"_3438":3439,"_3444":-5,"_303":3445,"_3448":-5,"_3449":3450,"_3483":262,"_3484":3485,"_25":3525,"_3526":3527,"_252":7950},"2025-09-25T00:50:32Z","73c55bad-99db-4c07-a85a-a14c55070868","mR5n4RucYEL3Q4ANSKU1Vo","video","2025-09-25T15:00:24Z","access","Public","afterEvent","agenda","collections",[],"cta","endDate","2025-09-25T16:00:00.000Z","excerpt",[265],{"_30":266,"_16":267,"_268":269,"_276":277,"_278":279},"6adc6b26ac77","block","children",[270],{"_30":271,"_16":272,"_273":274,"_146":275},"7ceaac68ea30","span","marks",[],"Sourcegraph CEO Quinn Slack argues that in the AI era, founders must abandon outdated playbooks, move radically faster, and stay hands-on with product to survive constant change.","markDefs",[],"style","normal","filmedOn","2025-07-31","library",{"_35":284,"_341":342},[285,308,326],{"_286":287,"_296":297,"_122":298,"_299":300,"_301":302,"_303":304,"_25":305,"_306":307},"content",[288],{"_30":289,"_16":267,"_268":290,"_276":295,"_278":279},"d4783a725fb1",[291],{"_30":292,"_16":272,"_273":293,"_146":294},"d1833420f51e",[],"In episode 22 of Open Source Ready, Brian and John sit down with Benji Kalman, co-founder of Root, to explore the intersection of AI, software development, and security. They unpack \"vibe coding,\" its impact on API proliferation, and the hidden costs of increased technical debt. Learn why a security vulnerability is just a bug with a purpose, and discover how AI agents can be used not just to write code, but to automatically find and remediate vulnerabilities in open-source containers.",[],"duration","53:04","https://cdn.sanity.io/images/50q6fr1p/production/79201f7b95d6f360cc0df6a5a8678b607df6d5ed-3000x3000.jpg","objectID","aedef5ad-8cdf-4d89-9a35-c9a14cfd63e1","publishDate","2025-09-25T07:10:00.000Z","slug","open-source-ready/ep-22-ai-and-container-security-with-benji-kalman-of-root","Open Source Ready Ep. #22, AI and Container Security with Benji Kalman of Root","typeName","podcastEpisode",{"_286":309,"_296":318,"_122":319,"_299":320,"_321":322,"_301":323,"_303":324,"_25":325,"_306":252},[310],{"_30":311,"_16":267,"_268":312,"_276":317,"_278":279},"c47b28479a51",[313],{"_30":314,"_16":272,"_273":315,"_146":316},"dcb7028600bf",[],"Raza Habib argues that successful LLM-powered products depend far more on people, evaluation, and product practices than on model size alone.",[],1365.530833,"https://image.mux.com/00PvwAKE02pl7Pl01mA002qCgI34x6Ak9W9j/thumbnail.png","8749e33b-9611-4108-9548-1fd8241c3edb","poster","mux","2025-09-24T17:30:00.000Z","ai-first-organization-design-feat-raza-habib","AI-First Organization Design feat. Raza Habib",{"_286":327,"_296":336,"_122":298,"_299":337,"_301":338,"_303":339,"_25":340,"_306":307},[328],{"_30":329,"_16":267,"_268":330,"_276":335,"_278":279},"5209d0346f17",[331],{"_30":332,"_16":272,"_273":333,"_146":334},"c4c9c88c5ed3",[],"In episode 21 of Open Source Ready, Brian and John sit down with Chad Metcalf, CEO of Continue, to explore the rise of continuous AI. Chad shares his journey from early embedded systems and platform engineering to leading an open-source-focused company building coding agents. They discuss automation, developer trust, open source attribution, and how AI is reshaping workflows across the entire software lifecycle.",[],"56:38","37fbf445-0037-4c81-ba81-afe7498c47b1","2025-09-10T07:10:00.000Z","open-source-ready/ep-21-continuous-ai-with-chad-metcalf-of-continue","Open Source Ready Ep. #21, Continuous AI with Chad Metcalf of Continue","recent",[343,2113,2714],{"_286":344,"_296":2106,"_122":2107,"_299":2108,"_301":2109,"_303":2110,"_25":2111,"_306":2112},[345,354,396,415,443,451,470,500,504,513,528,538,549,560,563,571,601,609,622,634,646,658,670,682,701,709,717,725,732,740,752,785,819,831,839,847,855,863,871,879,887,898,909,920,931,939,947,955,963,982,990,998,1006,1014,1022,1030,1038,1046,1054,1061,1069,1077,1085,1093,1100,1108,1116,1168,1176,1183,1190,1198,1206,1213,1232,1240,1248,1256,1264,1272,1280,1288,1296,1303,1311,1319,1326,1334,1341,1348,1356,1364,1371,1379,1387,1395,1410,1425,1440,1448,1455,1462,1470,1478,1486,1494,1502,1510,1518,1526,1534,1542,1550,1558,1565,1573,1580,1588,1607,1614,1621,1629,1637,1644,1652,1660,1667,1674,1682,1689,1697,1709,1721,1775,1783,1791,1799,1814,1822,1830,1838,1846,1854,1862,1870,1882,1894,1906,1918,1930,1942,1954,1966,2007,2015,2022,2029,2037,2044,2052,2059,2067,2075,2082,2090,2098],{"_30":346,"_16":267,"_268":347,"_276":352,"_278":353},"a6399587d8a1",[348],{"_30":349,"_16":272,"_273":350,"_146":351},"8ce5c5b51263",[],"Introduction to Training an LLM",[],"h2",{"_30":355,"_16":267,"_268":356,"_276":388,"_278":279},"0e69c3910248",[357,361,366,370,375,379,384],{"_30":358,"_16":272,"_273":359,"_146":360},"b5ac2b6b3fd3",[],"Organizations of all sizes and maturity levels are adopting artificial intelligence (AI) quickly. While enterprises are notorious for",{"_30":362,"_16":272,"_273":363,"_146":365},"65ae6e8a770d",[364],"977b250d5e29"," slower adoption",{"_30":367,"_16":272,"_273":368,"_146":369},"71d7c15b714b",[],", their retention rates for AI applications are now hitting",{"_30":371,"_16":272,"_273":372,"_146":374},"4b5d25a9ee77",[373],"0d11a753d96f"," 63% annually",{"_30":376,"_16":272,"_273":377,"_146":378},"ad3f903a3771",[],", up from 41% the previous year. So while there are arguably overhyped, generic use cases that could fizzle out, AI is",{"_30":380,"_16":272,"_273":381,"_146":383},"1ea7e8b7eef9",[382],"3539ba7296a9"," becoming stickier",{"_30":385,"_16":272,"_273":386,"_146":387},"4d41aef2957c",[]," in some places.",[389,392,394],{"_30":364,"_16":42,"_390":391},"href","https://www.heavybit.com/library/article/enterprise-ai-infrastructure-compliance-risks-adoption",{"_30":373,"_16":42,"_390":393},"https://www.forbes.com/councils/forbestechcouncil/2025/02/05/why-enterprise-ai-adoption-is-finally-reaching-its-tipping-point-a-guide-for-corporate-leaders/",{"_30":382,"_16":42,"_390":395},"https://www.heavybit.com/library/article/prompting-chatgpt-programming-llm-software-development",{"_30":397,"_16":267,"_268":398,"_276":412,"_278":279},"b6739aa2a6c2",[399,403,408],{"_30":400,"_16":272,"_273":401,"_146":402},"97b07bade036",[],"If you’re at an",{"_30":404,"_16":272,"_273":405,"_146":407},"b9622a6c7387",[406],"c62a39db8c0a"," organization that’s already leveraging generative AI",{"_30":409,"_16":272,"_273":410,"_146":411},"a77be8063224",[],", you may be tasked with exploring innovative applications for it. Large Language Models (LLMs) offer a range of opportunities, but while pre-trained LLMs like the ChatGPT family from OpenAI and the Llama family from META are excellent for general purposes, there’s a good chance your company will need custom LLM models that are a bit more bespoke.",[413],{"_30":406,"_16":42,"_390":414},"https://www.heavybit.com/library/article/future-of-ai-coding-genai",{"_30":416,"_16":110,"_417":418,"_111":419,"_421":422,"_423":418,"_424":425},"8681d46038f3","alt","Heavybit: Train LLMs on your own data",{"_113":420,"_16":115},"image-0266788f35bc1118319d84bbc32bd1b7b715dcb8-4000x2250-jpg","attribution","Heavybit","caption","detailedCaption",[426],{"_30":427,"_16":267,"_268":428,"_276":440,"_278":279},"15c937478e0a",[429,433],{"_30":430,"_16":272,"_273":431,"_146":432},"8cd616692996",[],"Training LLMs on your own data requires processing, model engineering, setup, testing, and iteration. ",{"_30":434,"_16":272,"_273":435,"_146":439},"3341ccdb16bb",[436,437,438],"ed5d975da551","underline","em","Click to zoom in on this infographic.",[441],{"_30":436,"_16":42,"_390":442},"https://cdn.sanity.io/images/50q6fr1p/production/0266788f35bc1118319d84bbc32bd1b7b715dcb8-4000x2250.jpg",{"_30":444,"_16":267,"_268":445,"_276":450,"_278":279},"b3e8ad3f66f9",[446],{"_30":447,"_16":272,"_273":448,"_146":449},"09110967b1ff",[],"",[],{"_30":452,"_16":267,"_268":453,"_276":467,"_278":279},"017e0464b625",[454,458,463],{"_30":455,"_16":272,"_273":456,"_146":457},"0d88d17d13d4",[],"Teams can optimize models for better on-the-fly performance using techniques like",{"_30":459,"_16":272,"_273":460,"_146":462},"72bca12cee19",[461],"cd448e36593c"," retrieval-augmented generation (RAG)",{"_30":464,"_16":272,"_273":465,"_146":466},"1c0f3bc08941",[],", or they can take the approach of training their LLM on their own data. (Note that a training project, the initialization of an AI model’s weights against a dataset, differs from a fine-tuning LLM project, which further trains pre-trained models and is often even more costly in terms of computational resources).",[468],{"_30":461,"_16":42,"_390":469},"https://www.heavybit.com/library/article/rag-vs-fine-tuning",{"_30":471,"_16":267,"_268":472,"_276":495,"_278":279},"9071a9e4fb58",[473,477,482,486,491],{"_30":474,"_16":272,"_273":475,"_146":476},"d37f5bff4703",[],"Whether you're building a chatbot with expertise fueled by internal documentation, generating domain-specific content, building a",{"_30":478,"_16":272,"_273":479,"_146":481},"ff69fa245d49",[480],"8a8f6d620c5d"," natural-language processing (NLP)",{"_30":483,"_16":272,"_273":484,"_146":485},"0724750bc08d",[],"-focused",{"_30":487,"_16":272,"_273":488,"_146":490},"5f30dce4a8ef",[489],"7f220939a0fd"," BERT model",{"_30":492,"_16":272,"_273":493,"_146":494},"cce76ef5fe75",[]," for a text data or text generation use case, or enhancing existing models with proprietary knowledge, this tutorial will walk you through the practical steps required to train a language model on your own dataset.",[496,498],{"_30":480,"_16":42,"_390":497},"https://en.wikipedia.org/wiki/Natural_language_processing",{"_30":489,"_16":42,"_390":499},"https://en.wikipedia.org/wiki/BERT_(language_model)",{"_30":501,"_16":122,"_111":502},"71f3d6c2eb40",{"_113":503,"_16":115},"image-57880beea577987aaefcbac3658955424d2dabbd-1200x2-jpg",{"_30":505,"_16":267,"_268":506,"_276":511,"_278":512},"9980872013aa",[507],{"_30":508,"_16":272,"_273":509,"_146":510},"8f0616078cf0",[],"More Resources on LLM Engineering",[],"h3",{"_30":514,"_16":267,"_268":515,"_521":522,"_523":524,"_276":525,"_278":279},"52d136e50b86",[516],{"_30":517,"_16":272,"_273":518,"_146":520},"3a1e7e239739",[519],"51f7019d065f","Article: LLM Fine-Tuning: A Guide for Engineering Teams in 2025","level",1,"listItem","bullet",[526],{"_30":519,"_16":42,"_390":527},"https://www.heavybit.com/library/article/llm-fine-tuning",{"_30":529,"_16":267,"_268":530,"_521":522,"_523":524,"_276":536,"_278":279},"b90365c48cb8",[531],{"_30":532,"_16":272,"_273":533,"_146":535},"0211029c56af",[534],"774350bf476d","Article: RAG vs. Fine-Tuning: What Dev Teams Need to Know",[537],{"_30":534,"_16":42,"_390":469},{"_30":539,"_16":267,"_268":540,"_521":522,"_523":524,"_276":546,"_278":279},"7a83b822584d",[541],{"_30":542,"_16":272,"_273":543,"_146":545},"8dcbb68adbde",[544],"be97ab70f307","Article: Synthetic Data for AI: Purpose and Use Cases",[547],{"_30":544,"_16":42,"_390":548},"https://www.heavybit.com/library/article/synthetic-data-for-ai",{"_30":550,"_16":267,"_268":551,"_521":522,"_523":524,"_276":557,"_278":279},"54d3ce84a16e",[552],{"_30":553,"_16":272,"_273":554,"_146":556},"d98b34615398",[555],"c886ace6e24a","Article: How to Create Data Pipelines",[558],{"_30":555,"_16":42,"_390":559},"https://www.heavybit.com/library/article/how-to-create-data-pipelines",{"_30":561,"_16":122,"_111":562},"2989adc68ef0",{"_113":503,"_16":115},{"_30":564,"_16":267,"_268":565,"_276":570,"_278":512},"3dc8452f6bb0",[566],{"_30":567,"_16":272,"_273":568,"_146":569},"0ef22361eadf",[],"What Is an LLM and Its Key Components?",[],{"_30":572,"_16":267,"_268":573,"_276":596,"_278":279},"4ab475bdf11e",[574,578,583,587,592],{"_30":575,"_16":272,"_273":576,"_146":577},"dfdf24648eb6",[],"If you’re reading this, there’s already a good chance you know about LLMs, here’s a brief recap. An LLM is a deep learning model trained to understand and generate human language. LLMs are commonly built on the",{"_30":579,"_16":272,"_273":580,"_146":582},"a42d067fb740",[581],"f10bc77397f6"," Transformer architecture",{"_30":584,"_16":272,"_273":585,"_146":586},"cbef3de8d5e2",[],", introduced in the seminal \"",{"_30":588,"_16":272,"_273":589,"_146":591},"de9052028c45",[590],"a7769067698b","Attention is All You Need",{"_30":593,"_16":272,"_273":594,"_146":595},"00adc4ff135f",[],"\" paper.",[597,599],{"_30":581,"_16":42,"_390":598},"https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture)",{"_30":590,"_16":42,"_390":600},"https://arxiv.org/abs/1706.03762",{"_30":602,"_16":267,"_268":603,"_276":608,"_278":279},"79e56bc43c57",[604],{"_30":605,"_16":272,"_273":606,"_146":607},"8589ac125a91",[],"Key components of an LLM include:",[],{"_30":610,"_16":267,"_268":611,"_521":522,"_523":524,"_276":621,"_278":279},"d16b8cd3ddfa",[612,617],{"_30":613,"_16":272,"_273":614,"_146":616},"91329b0ce3d4",[615],"strong","Tokenization:",{"_30":618,"_16":272,"_273":619,"_146":620},"24c7f1508da4",[]," Breaks inputted text into manageable units/tokens (such as words or subwords) so it’s machine-readable.",[],{"_30":623,"_16":267,"_268":624,"_521":522,"_523":524,"_276":633,"_278":279},"df1c73b6c0eb",[625,629],{"_30":626,"_16":272,"_273":627,"_146":628},"258fd9bced23",[615],"Embedding Layer:",{"_30":630,"_16":272,"_273":631,"_146":632},"8d813909c24d",[]," Maps tokens to high-dimensional vectors. These embeddings are updated during model training to capture task-specific meaning.",[],{"_30":635,"_16":267,"_268":636,"_521":522,"_523":524,"_276":645,"_278":279},"ce34cd758ab4",[637,641],{"_30":638,"_16":272,"_273":639,"_146":640},"1bca2ab083ee",[615],"Positional Encoding:",{"_30":642,"_16":272,"_273":643,"_146":644},"b8841f98c482",[]," Added to token embeddings to give the model information about the position of each token in the sequence.",[],{"_30":647,"_16":267,"_268":648,"_521":522,"_523":524,"_276":657,"_278":279},"76d55bc27217",[649,653],{"_30":650,"_16":272,"_273":651,"_146":652},"34f8cfebe47f",[615],"Attention Mechanisms:",{"_30":654,"_16":272,"_273":655,"_146":656},"cbb723a92424",[]," Allows the model to weigh the relationships between all tokens in a sequence, and dynamically focus on the most relevant components of the context for each token.",[],{"_30":659,"_16":267,"_268":660,"_521":522,"_523":524,"_276":669,"_278":279},"8b720d3c6d00",[661,665],{"_30":662,"_16":272,"_273":663,"_146":664},"7c253cfba82e",[615],"Feed-Forward Networks:",{"_30":666,"_16":272,"_273":667,"_146":668},"cf9a2b6d5a47",[]," Process each position independently, and enrich the model’s capacity to detect and process complex patterns per the model’s algorithms.",[],{"_30":671,"_16":267,"_268":672,"_521":522,"_523":524,"_276":681,"_278":279},"b2400571263c",[673,677],{"_30":674,"_16":272,"_273":675,"_146":676},"0366238f7b35",[615],"Output Layer:",{"_30":678,"_16":272,"_273":679,"_146":680},"cb097c884067",[]," Converts the final token representations into probabilities over the vocabulary, which then generates predictions, such as the next token in a sequence.",[],{"_30":683,"_16":267,"_268":684,"_276":698,"_278":279},"6c4571fec1e1",[685,689,694],{"_30":686,"_16":272,"_273":687,"_146":688},"d4c21dc4f2c0",[],"When combined, these elements of an LLM create a pipeline that transforms your inputted raw text into outputted",{"_30":690,"_16":272,"_273":691,"_146":693},"bfcf7e0e534a",[692],"955440818a39"," meaningful predictions",{"_30":695,"_16":272,"_273":696,"_146":697},"a648856fd6d8",[]," with nuanced understanding and context-aware sensitivity. Now let’s talk about how to apply that to your organization.",[699],{"_30":692,"_16":42,"_390":700},"https://www.heavybit.com/library/article/ai-inference",{"_30":702,"_16":267,"_268":703,"_276":708,"_278":353},"8012c53cf0be",[704],{"_30":705,"_16":272,"_273":706,"_146":707},"26dabdc33c73",[],"Why Train an LLM on Your Own Data?",[],{"_30":710,"_16":267,"_268":711,"_276":716,"_278":279},"d73ea082ccdf",[712],{"_30":713,"_16":272,"_273":714,"_146":715},"a2c65cd84ae4",[],"If you have a common medical problem, such as a cough or headache, you’re probably fine going to see a doctor who is a general practitioner. On the other hand, if there are recurring concerns about specific parts of your body, such as your knees or shoulders, you might want to schedule an appointment with someone who specializes in that field, such as an orthopedic surgeon. The value of your own LLM, trained to focus on your users’ needs, can be seen in a similar way.",[],{"_30":718,"_16":267,"_268":719,"_276":724,"_278":279},"02c6fe3d89a4",[720],{"_30":721,"_16":272,"_273":722,"_146":723},"5bf9c0a71c24",[],"While GPT-4, for instance, might be able to provide a broad overview of what your organization does at a high level — based on publicly available information — it’s not going to be able to do so with the same level of granular knowledge that is common amongst your co-workers.",[],{"_30":726,"_16":267,"_268":727,"_276":731,"_278":279},"c1b7a7e56c46",[728],{"_30":729,"_16":272,"_273":730,"_146":449},"a4ce084fe742",[],[],{"_30":733,"_16":267,"_268":734,"_276":739,"_278":279},"fdd766dfd996",[735],{"_30":736,"_16":272,"_273":737,"_146":738},"9dcf25f638a4",[],"By training an LLM on your own dataset, you can achieve:",[],{"_30":741,"_16":267,"_268":742,"_276":751,"_278":279},"2babe1df0a62",[743,747],{"_30":744,"_16":272,"_273":745,"_146":746},"c2345bf86f48",[615],"Domain Knowledge:",{"_30":748,"_16":272,"_273":749,"_146":750},"354423d39a3e",[]," General models will struggle with niche terminology or specialized workflows. By training your own LLM on your own specific data tailored to your use case (like support tickets, codebases, or datasheets), you ensure the model internalizes domain-specific vocabulary, abbreviations, and context.",[],{"_30":753,"_16":267,"_268":754,"_276":781,"_278":279},"eff652765c59",[755,759,763,768,772,777],{"_30":756,"_16":272,"_273":757,"_146":758},"c0dc64eaf562",[615],"Better Performance:",{"_30":760,"_16":272,"_273":761,"_146":762},"80720adb7a32",[]," Generic models can be imprecise on narrow tasks.",{"_30":764,"_16":272,"_273":765,"_146":767},"ba195bedbcbe",[766],"9810080ef9f3"," Fine-tuning",{"_30":769,"_16":272,"_273":770,"_146":771},"58145107b894",[]," on task-relevant examples, such as customer questions, code reviews, or internal documentation, significantly boosts accuracy, relevance, and reliability. For use cases where data freshness is critical, updating your data (such as via a",{"_30":773,"_16":272,"_273":774,"_146":776},"6e48850fe2cf",[775],"4a6eadff5615"," data pipeline",{"_30":778,"_16":272,"_273":779,"_146":780},"c317a37d875b",[],") using a real-time cadence may be necessary.",[782,784],{"_30":766,"_16":42,"_390":783},"https://www.heavybit.com/library/article/how-to-make-open-llms-work-in-practice",{"_30":775,"_16":42,"_390":559},{"_30":786,"_16":267,"_268":787,"_276":814,"_278":279},"fb7c76ae74a0",[788,792,796,801,805,810],{"_30":789,"_16":272,"_273":790,"_146":791},"10b3cc973f92",[615],"Privacy and Control:",{"_30":793,"_16":272,"_273":794,"_146":795},"4598d730d126",[]," If you choose to host and train your own LLM on-premise or within a secure cloud environment, you’ll ensure that sensitive, regulated, or proprietary data stays within your",{"_30":797,"_16":272,"_273":798,"_146":800},"47188695285e",[799],"408d06df4f75"," infrastructure",{"_30":802,"_16":272,"_273":803,"_146":804},"3e2d44731d4c",[],". This is especially",{"_30":806,"_16":272,"_273":807,"_146":809},"11676f23b056",[808],"673cf4527d26"," important for industries",{"_30":811,"_16":272,"_273":812,"_146":813},"f6289cade65e",[]," with compliance requirements or IP concerns.",[815,817],{"_30":799,"_16":42,"_390":816},"https://www.heavybit.com/library/collections/ai-infrastructure",{"_30":808,"_16":42,"_390":818},"https://www.heavybit.com/library/article/how-llm-guardrails-reduce-ai-risk-in-software-development",{"_30":820,"_16":267,"_268":821,"_276":830,"_278":279},"28a6bec21ee5",[822,826],{"_30":823,"_16":272,"_273":824,"_146":825},"c1c9b97d8529",[615],"Customization:",{"_30":827,"_16":272,"_273":828,"_146":829},"ce693571ded0",[]," By fine-tuning the model's highly-sensitive behavior, you can better match your organization’s brand voice, formatting standards, or response strategies. This leads to a more consistent and aligned user experience across your product or platform.",[],{"_30":832,"_16":267,"_268":833,"_276":838,"_278":279},"3c7b494ec018",[834],{"_30":835,"_16":272,"_273":836,"_146":837},"60eb9ac95a33",[],"Training an LLM on your own training data turns a general-purpose tool into a purpose-built solution aligned exclusively with your environment, goals, and constraints. That said, anyone who has successfully built, launched, and maintained in-house tools knows it can all seem easier said than done.",[],{"_30":840,"_16":267,"_268":841,"_276":846,"_278":353},"435fd9b87290",[842],{"_30":843,"_16":272,"_273":844,"_146":845},"8bbcff7894d2",[],"How to Train an LLM on Your Own Data: A Step-by-Step Guide",[],{"_30":848,"_16":267,"_268":849,"_276":854,"_278":279},"54d2393ad9f5",[850],{"_30":851,"_16":272,"_273":852,"_146":853},"8faaf6301622",[],"The success of training your own LLM using training data you own hinges on a variety of factors, but let’s outline the broad steps, using Python and open-source tools where available for simplicity.",[],{"_30":856,"_16":267,"_268":857,"_276":862,"_278":512},"d14efe9f79e3",[858],{"_30":859,"_16":272,"_273":860,"_146":861},"1be386a89492",[],"1. Collect and Process Your Data",[],{"_30":864,"_16":267,"_268":865,"_276":870,"_278":279},"f58a2424fb87",[866],{"_30":867,"_16":272,"_273":868,"_146":869},"f6d19573d3e0",[],"It’s a lot easier and efficient to train your model if your assembled training data is cleaned up and standardized. Below are steps and tools to get high-quality data ready (and build a custom dataset as needed):",[],{"_30":872,"_16":267,"_268":873,"_276":878,"_278":279},"a7be667fd782",[874],{"_30":875,"_16":272,"_273":876,"_146":877},"bcfc1277316e",[615],"Data Collection",[],{"_30":880,"_16":267,"_268":881,"_276":886,"_278":279},"b41d5175ce43",[882],{"_30":883,"_16":272,"_273":884,"_146":885},"4a633c39c71e",[],"Here are a few sources to either sample or start datasets:",[],{"_30":888,"_16":267,"_268":889,"_521":522,"_523":524,"_276":895,"_278":279},"b8faef395a35",[890],{"_30":891,"_16":272,"_273":892,"_146":894},"afb9f16478bd",[893],"cf5c693d8b8b","Hugging Face",[896],{"_30":893,"_16":42,"_390":897},"https://huggingface.co/datasets",{"_30":899,"_16":267,"_268":900,"_521":522,"_523":524,"_276":906,"_278":279},"d52c81ba1362",[901],{"_30":902,"_16":272,"_273":903,"_146":905},"5fe38fe8151d",[904],"6bfc539e4511","Kaggle",[907],{"_30":904,"_16":42,"_390":908},"https://www.kaggle.com/datasets",{"_30":910,"_16":267,"_268":911,"_521":522,"_523":524,"_276":917,"_278":279},"0020bcb8fa03",[912],{"_30":913,"_16":272,"_273":914,"_146":916},"032270edcf9f",[915],"6a0fc6040371","GitHub Repositories",[918],{"_30":915,"_16":42,"_390":919},"https://github.com/",{"_30":921,"_16":267,"_268":922,"_521":522,"_523":524,"_276":928,"_278":279},"87cf9b5e90ed",[923],{"_30":924,"_16":272,"_273":925,"_146":927},"a41bd5ab3e93",[926],"84dedaae3a5a","DataCamp",[929],{"_30":926,"_16":42,"_390":930},"https://www.datacamp.com/",{"_30":932,"_16":267,"_268":933,"_276":938,"_278":279},"0bc9363eb7b5",[934],{"_30":935,"_16":272,"_273":936,"_146":937},"f9015129e83e",[],"For the actual contents of your data, you’ll need to figure out what items make the most sense for your use case, such as:",[],{"_30":940,"_16":267,"_268":941,"_521":522,"_523":524,"_276":946,"_278":279},"b46620f2256d",[942],{"_30":943,"_16":272,"_273":944,"_146":945},"9258aa31c662",[],"Internal documentation",[],{"_30":948,"_16":267,"_268":949,"_521":522,"_523":524,"_276":954,"_278":279},"cba51ec4eb06",[950],{"_30":951,"_16":272,"_273":952,"_146":953},"f96929df15ae",[],"CRM or support tickets",[],{"_30":956,"_16":267,"_268":957,"_521":522,"_523":524,"_276":962,"_278":279},"381813992645",[958],{"_30":959,"_16":272,"_273":960,"_146":961},"5c86f748fbe4",[],"Chat logs or Slack messages",[],{"_30":964,"_16":267,"_268":965,"_276":979,"_278":279},"039644394654",[966,970,975],{"_30":967,"_16":272,"_273":968,"_146":969},"0d4af49a2851",[],"If you’re building a customer support LLM, for example, you can start with a dataset like",{"_30":971,"_16":272,"_273":972,"_146":974},"96562f5665bf",[973],"f278daf38b23"," MultiWOZ",{"_30":976,"_16":272,"_273":977,"_146":978},"b1bea17e7055",[],", which is a collection of multi-domain task-oriented dialogues.",[980],{"_30":973,"_16":42,"_390":981},"https://huggingface.co/datasets/pfb30/multi_woz_v22",{"_30":983,"_16":267,"_268":984,"_276":989,"_278":279},"5c27a11f692d",[985],{"_30":986,"_16":272,"_273":987,"_146":988},"02bce45544db",[615],"Preprocess Your Data",[],{"_30":991,"_16":267,"_268":992,"_276":997,"_278":279},"8e3d25feaee7",[993],{"_30":994,"_16":272,"_273":995,"_146":996},"326ace37baa5",[],"Once you’ve got your data, you’ll need to prepare it for training. Preprocessing your training data will result in greater efficiency and reduced latency. Here’s what you need to look for:",[],{"_30":999,"_16":267,"_268":1000,"_521":522,"_523":524,"_276":1005,"_278":279},"7e6fea715c36",[1001],{"_30":1002,"_16":272,"_273":1003,"_146":1004},"42564f134e7b",[],"Remove duplicates to avoid skewing your model",[],{"_30":1007,"_16":267,"_268":1008,"_521":522,"_523":524,"_276":1013,"_278":279},"36c003978211",[1009],{"_30":1010,"_16":272,"_273":1011,"_146":1012},"8fc4db96a9ca",[],"Watch for data gaps and remove rows with missing context",[],{"_30":1015,"_16":267,"_268":1016,"_521":522,"_523":524,"_276":1021,"_278":279},"b83a1da66d3b",[1017],{"_30":1018,"_16":272,"_273":1019,"_146":1020},"8a46aab4cf51",[],"Filter incomplete examples, such as dialogues without responses",[],{"_30":1023,"_16":267,"_268":1024,"_521":522,"_523":524,"_276":1029,"_278":279},"95a263361cd8",[1025],{"_30":1026,"_16":272,"_273":1027,"_146":1028},"5da8fe319dcc",[],"Label your data if needed for supervised fine-tuning",[],{"_30":1031,"_16":267,"_268":1032,"_521":522,"_523":524,"_276":1037,"_278":279},"f5c6e7caa203",[1033],{"_30":1034,"_16":272,"_273":1035,"_146":1036},"5a44eab38a8b",[],"Eliminate HTML tags and special characters",[],{"_30":1039,"_16":267,"_268":1040,"_521":522,"_523":524,"_276":1045,"_278":279},"35d65f06af5e",[1041],{"_30":1042,"_16":272,"_273":1043,"_146":1044},"4ceeccf4f939",[],"Normalize text (lowercasing, removing stopwords, etc.)",[],{"_30":1047,"_16":267,"_268":1048,"_276":1053,"_278":279},"7391d0d52865",[1049],{"_30":1050,"_16":272,"_273":1051,"_146":1052},"84a85bd49e14",[],"Finally, tokenize and convert your text to a numerical format using tools like Hugging Face's tokenizer:",[],{"_30":1055,"_16":267,"_268":1056,"_276":1060,"_278":279},"b1bf8c40d9f9",[1057],{"_30":1058,"_16":272,"_273":1059,"_146":449},"8bfe355d2893",[],[],{"_30":1062,"_16":267,"_268":1063,"_276":1068,"_278":279},"dfc9607744e1",[1064],{"_30":1065,"_16":272,"_273":1066,"_146":1067},"5de4855bdce9",[438,615],"python",[],{"_30":1070,"_16":267,"_268":1071,"_276":1076,"_278":279},"25dace9605dd",[1072],{"_30":1073,"_16":272,"_273":1074,"_146":1075},"6cfa6f96119e",[438,615],"from transformers import AutoTokenizer",[],{"_30":1078,"_16":267,"_268":1079,"_276":1084,"_278":279},"76fe1acc92bb",[1080],{"_30":1081,"_16":272,"_273":1082,"_146":1083},"6d9f44a5201e",[438,615],"sample_text = \"Hello, how can I help you today?\"",[],{"_30":1086,"_16":267,"_268":1087,"_276":1092,"_278":279},"4478003ae768",[1088],{"_30":1089,"_16":272,"_273":1090,"_146":1091},"691f6e5b3384",[438,615],"tokens = tokenizer(sample_text, padding=\"max_length\", truncation=True, return_tensors=\"pt\")",[],{"_30":1094,"_16":267,"_268":1095,"_276":1099,"_278":279},"9544c0bb6afb",[1096],{"_30":1097,"_16":272,"_273":1098,"_146":449},"faec8285f91d",[],[],{"_30":1101,"_16":267,"_268":1102,"_276":1107,"_278":279},"4dc3185cb77a",[1103],{"_30":1104,"_16":272,"_273":1105,"_146":1106},"ff2f0794ea0e",[],"You may also embed the tokens or assess attention layers later in the model pipeline, but at this stage, it’s a good idea to focus on ensuring your data is in a standardized, clean text form that will play nicely with any API you use to feed data to your model",[],{"_30":1109,"_16":267,"_268":1110,"_276":1115,"_278":512},"c560eec67861",[1111],{"_30":1112,"_16":272,"_273":1113,"_146":1114},"27d99ca7c7a5",[],"2. Build Your Model",[],{"_30":1117,"_16":267,"_268":1118,"_276":1159,"_278":279},"da614eefdf2d",[1119,1123,1128,1132,1137,1141,1146,1150,1155],{"_30":1120,"_16":272,"_273":1121,"_146":1122},"e9528b4d62d5",[],"At the heart of the majority of LLMs is the aforementioned Transformer architecture, but luckily you won’t need to build a full custom LLM from scratch. For example, you can use popular Python frameworks such as",{"_30":1124,"_16":272,"_273":1125,"_146":1127},"e0030fc44f07",[1126],"200df259a4c4"," PyTorch",{"_30":1129,"_16":272,"_273":1130,"_146":1131},"8a5b05dcd242",[]," and",{"_30":1133,"_16":272,"_273":1134,"_146":1136},"bb5fef39af3c",[1135],"fbf3c26796e8"," TensorFlow",{"_30":1138,"_16":272,"_273":1139,"_146":1140},"3253e9996071",[],", combined with libraries like",{"_30":1142,"_16":272,"_273":1143,"_146":1145},"6aff73665bb1",[1144],"f93601855d0c"," Hugging Face Transformers",{"_30":1147,"_16":272,"_273":1148,"_146":1149},"3092fbde2553",[]," or",{"_30":1151,"_16":272,"_273":1152,"_146":1154},"309c8187d5e2",[1153],"7ef6bde3c13c"," Langchain",{"_30":1156,"_16":272,"_273":1157,"_146":1158},"765dc39082a0",[]," to work with a prebuilt base model or customize your own.",[1160,1162,1164,1166],{"_30":1126,"_16":42,"_390":1161},"https://pytorch.org/",{"_30":1135,"_16":42,"_390":1163},"https://www.tensorflow.org/",{"_30":1144,"_16":42,"_390":1165},"https://huggingface.co/docs/transformers/en/index",{"_30":1153,"_16":42,"_390":1167},"https://python.langchain.com/docs/introduction/",{"_30":1169,"_16":267,"_268":1170,"_276":1175,"_278":279},"93ea0729a49c",[1171],{"_30":1172,"_16":272,"_273":1173,"_146":1174},"cafc718a6a32",[],"Here’s an illustrative example of loading a pretrained model using Hugging Face Transformers:",[],{"_30":1177,"_16":267,"_268":1178,"_276":1182,"_278":279},"63dede9551ce",[1179],{"_30":1180,"_16":272,"_273":1181,"_146":449},"ee67cbf2c70b",[],[],{"_30":1184,"_16":267,"_268":1185,"_276":1189,"_278":279},"0ba5c86cd007",[1186],{"_30":1187,"_16":272,"_273":1188,"_146":1067},"ac19618c6a0e",[438,615],[],{"_30":1191,"_16":267,"_268":1192,"_276":1197,"_278":279},"6f77aa6f1c9c",[1193],{"_30":1194,"_16":272,"_273":1195,"_146":1196},"3e50d9f0cfc0",[438,615],"from transformers import AutoModelForCausalLM",[],{"_30":1199,"_16":267,"_268":1200,"_276":1205,"_278":279},"8dcdf6695d87",[1201],{"_30":1202,"_16":272,"_273":1203,"_146":1204},"970ab77ab2de",[438,615],"model = AutoModelForCausalLM.from_pretrained(\"gpt2\")",[],{"_30":1207,"_16":267,"_268":1208,"_276":1212,"_278":279},"203978dc118f",[1209],{"_30":1210,"_16":272,"_273":1211,"_146":449},"04625271c687",[],[],{"_30":1214,"_16":267,"_268":1215,"_276":1229,"_278":279},"6f37d598e2f4",[1216,1220,1225],{"_30":1217,"_16":272,"_273":1218,"_146":1219},"9006358929e6",[],"The above makes sense if you're fine-tuning a full model. For efficient training, consider techniques like",{"_30":1221,"_16":272,"_273":1222,"_146":1224},"900df7a0682d",[1223],"4a8195ac5459"," LoRA",{"_30":1226,"_16":272,"_273":1227,"_146":1228},"ec21d03def74",[]," or adapters that let you train only a subset of the parameters.",[1230],{"_30":1223,"_16":42,"_390":1231},"https://huggingface.co/docs/diffusers/main/en/training/lora",{"_30":1233,"_16":267,"_268":1234,"_276":1239,"_278":512},"12c9b343c4c2",[1235],{"_30":1236,"_16":272,"_273":1237,"_146":1238},"545c044ae56c",[],"3. Set Up Your Environment",[],{"_30":1241,"_16":267,"_268":1242,"_276":1247,"_278":279},"da93f4b93555",[1243],{"_30":1244,"_16":272,"_273":1245,"_146":1246},"925494fdcaa1",[],"You’ll need a proper development environment to train and test an LLM, which requires high-performance capabilities. Here are some examples:",[],{"_30":1249,"_16":267,"_268":1250,"_521":522,"_523":524,"_276":1255,"_278":279},"652732d37431",[1251],{"_30":1252,"_16":272,"_273":1253,"_146":1254},"e144a9e43d78",[],"Python 3.8+",[],{"_30":1257,"_16":267,"_268":1258,"_521":522,"_523":524,"_276":1263,"_278":279},"b39d3df5d72a",[1259],{"_30":1260,"_16":272,"_273":1261,"_146":1262},"0d9404af6080",[],"GPU support (e.g., NVIDIA CUDA)",[],{"_30":1265,"_16":267,"_268":1266,"_521":522,"_523":524,"_276":1271,"_278":279},"eb1bfa1dec94",[1267],{"_30":1268,"_16":272,"_273":1269,"_146":1270},"1357b1b2b480",[],"Libraries: PyTorch, TensorFlow, Hugging Face Transformers, Tokenizers",[],{"_30":1273,"_16":267,"_268":1274,"_521":522,"_523":524,"_276":1279,"_278":279},"cdf50a9996cd",[1275],{"_30":1276,"_16":272,"_273":1277,"_146":1278},"55a2af22ad53",[],"Cloud options: Google Colab, AWS EC2 with GPU, Paperspace, or Lambda Labs",[],{"_30":1281,"_16":267,"_268":1282,"_521":522,"_523":524,"_276":1287,"_278":279},"dba0c7a1970c",[1283],{"_30":1284,"_16":272,"_273":1285,"_146":1286},"0aed82202f3d",[],"On-prem",[],{"_30":1289,"_16":267,"_268":1290,"_276":1295,"_278":279},"043f2d88de10",[1291],{"_30":1292,"_16":272,"_273":1293,"_146":1294},"4574ddb6ff17",[],"Example setup using Hugging Face:",[],{"_30":1297,"_16":267,"_268":1298,"_276":1302,"_278":279},"ee45ab69a38d",[1299],{"_30":1300,"_16":272,"_273":1301,"_146":449},"3ea8d209a3bb",[],[],{"_30":1304,"_16":267,"_268":1305,"_276":1310,"_278":279},"a1a752e2ff51",[1306],{"_30":1307,"_16":272,"_273":1308,"_146":1309},"616efc5200fb",[438,615],"bash",[],{"_30":1312,"_16":267,"_268":1313,"_276":1318,"_278":279},"a8e0c85069e6",[1314],{"_30":1315,"_16":272,"_273":1316,"_146":1317},"2fd4a6aee241",[438,615],"pip install torch transformers datasets",[],{"_30":1320,"_16":267,"_268":1321,"_276":1325,"_278":279},"b8f7284a3e1d",[1322],{"_30":1323,"_16":272,"_273":1324,"_146":449},"cc64e5555dbf",[],[],{"_30":1327,"_16":267,"_268":1328,"_276":1333,"_278":279},"029c37f93b2f",[1329],{"_30":1330,"_16":272,"_273":1331,"_146":1332},"5524562e32af",[],"To run on GPU:",[],{"_30":1335,"_16":267,"_268":1336,"_276":1340,"_278":279},"a2e2c40210cb",[1337],{"_30":1338,"_16":272,"_273":1339,"_146":449},"a176184797f0",[],[],{"_30":1342,"_16":267,"_268":1343,"_276":1347,"_278":279},"c8be8a626163",[1344],{"_30":1345,"_16":272,"_273":1346,"_146":1067},"1f66927ea090",[438,615],[],{"_30":1349,"_16":267,"_268":1350,"_276":1355,"_278":279},"bb4a8cecbdbd",[1351],{"_30":1352,"_16":272,"_273":1353,"_146":1354},"beba790a965a",[438,615],"import torch",[],{"_30":1357,"_16":267,"_268":1358,"_276":1363,"_278":279},"04928efdf136",[1359],{"_30":1360,"_16":272,"_273":1361,"_146":1362},"0d2dbc751a49",[438,615],"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")",[],{"_30":1365,"_16":267,"_268":1366,"_276":1370,"_278":279},"2080dc4f0953",[1367],{"_30":1368,"_16":272,"_273":1369,"_146":449},"84cad8e85e6e",[],[],{"_30":1372,"_16":267,"_268":1373,"_276":1378,"_278":512},"0b4a107b670b",[1374],{"_30":1375,"_16":272,"_273":1376,"_146":1377},"814651d9c22a",[],"Step 4: Train and Test the Model",[],{"_30":1380,"_16":267,"_268":1381,"_276":1386,"_278":279},"f6a86ece58be",[1382],{"_30":1383,"_16":272,"_273":1384,"_146":1385},"aa18e01f1de3",[],"Now comes the actual model training process.",[],{"_30":1388,"_16":267,"_268":1389,"_276":1394,"_278":279},"caf57683b559",[1390],{"_30":1391,"_16":272,"_273":1392,"_146":1393},"d28b83b169e0",[],"First, set the initial parameters:",[],{"_30":1396,"_16":267,"_268":1397,"_521":522,"_523":524,"_276":1407,"_278":279},"ae9eb76ba164",[1398,1403],{"_30":1399,"_16":272,"_273":1400,"_146":1402},"d5117d8883e3",[1401],"a4605b8db5b5","Epochs:",{"_30":1404,"_16":272,"_273":1405,"_146":1406},"ef8aa982610d",[]," Number of passes through the dataset (e.g., 3–5 for small datasets)",[1408],{"_30":1401,"_16":42,"_390":1409},"https://www.geeksforgeeks.org/machine-learning/epoch-in-machine-learning/",{"_30":1411,"_16":267,"_268":1412,"_521":522,"_523":524,"_276":1422,"_278":279},"4cc6a2236ed0",[1413,1418],{"_30":1414,"_16":272,"_273":1415,"_146":1417},"574e3f1618f1",[1416],"599c74643dc6","Batch size:",{"_30":1419,"_16":272,"_273":1420,"_146":1421},"b786ccb8fb1f",[]," Number of samples per batch (e.g., 16 or 32)",[1423],{"_30":1416,"_16":42,"_390":1424},"https://stats.stackexchange.com/questions/153531/what-is-batch-size-in-neural-network",{"_30":1426,"_16":267,"_268":1427,"_521":522,"_523":524,"_276":1437,"_278":279},"5ee4c55546eb",[1428,1433],{"_30":1429,"_16":272,"_273":1430,"_146":1432},"784514c05f31",[1431],"d173e1187ec5","Learning rate:",{"_30":1434,"_16":272,"_273":1435,"_146":1436},"aa700e16f1e5",[]," Controls how much the model adjusts per update",[1438],{"_30":1431,"_16":42,"_390":1439},"https://www.geeksforgeeks.org/machine-learning/impact-of-learning-rate-on-a-model/",{"_30":1441,"_16":267,"_268":1442,"_276":1447,"_278":279},"d49d671b6b09",[1443],{"_30":1444,"_16":272,"_273":1445,"_146":1446},"41fe10dcd2d9",[],"Example using Hugging Face's Trainer:",[],{"_30":1449,"_16":267,"_268":1450,"_276":1454,"_278":279},"1e6689be26d7",[1451],{"_30":1452,"_16":272,"_273":1453,"_146":449},"6cac4a834e4d",[],[],{"_30":1456,"_16":267,"_268":1457,"_276":1461,"_278":279},"897f84749d87",[1458],{"_30":1459,"_16":272,"_273":1460,"_146":1067},"1d34cf9a7f11",[438,615],[],{"_30":1463,"_16":267,"_268":1464,"_276":1469,"_278":279},"008ac0441014",[1465],{"_30":1466,"_16":272,"_273":1467,"_146":1468},"f4d3608e8d51",[438,615],"from transformers import Trainer, TrainingArguments",[],{"_30":1471,"_16":267,"_268":1472,"_276":1477,"_278":279},"d64145a71ac4",[1473],{"_30":1474,"_16":272,"_273":1475,"_146":1476},"b6e966968b85",[438,615],"training_args = TrainingArguments(",[],{"_30":1479,"_16":267,"_268":1480,"_276":1485,"_278":279},"5a3fade82aaf",[1481],{"_30":1482,"_16":272,"_273":1483,"_146":1484},"81863f552763",[438,615],"output_dir=\"./results\",",[],{"_30":1487,"_16":267,"_268":1488,"_276":1493,"_278":279},"155aeabd7b60",[1489],{"_30":1490,"_16":272,"_273":1491,"_146":1492},"b050aadef515",[438,615],"per_device_train_batch_size=16,",[],{"_30":1495,"_16":267,"_268":1496,"_276":1501,"_278":279},"b3734f734fda",[1497],{"_30":1498,"_16":272,"_273":1499,"_146":1500},"717d2e9e7f51",[438,615],"num_train_epochs=3,",[],{"_30":1503,"_16":267,"_268":1504,"_276":1509,"_278":279},"2635137240b7",[1505],{"_30":1506,"_16":272,"_273":1507,"_146":1508},"f745f0d4d80c",[438,615],"logging_dir=\"./logs\"",[],{"_30":1511,"_16":267,"_268":1512,"_276":1517,"_278":279},"e6a182750abb",[1513],{"_30":1514,"_16":272,"_273":1515,"_146":1516},"88af63eed6b4",[438,615],")",[],{"_30":1519,"_16":267,"_268":1520,"_276":1525,"_278":279},"cb944ec05015",[1521],{"_30":1522,"_16":272,"_273":1523,"_146":1524},"34a425306ab9",[438,615],"trainer = Trainer(",[],{"_30":1527,"_16":267,"_268":1528,"_276":1533,"_278":279},"93feeebf4b25",[1529],{"_30":1530,"_16":272,"_273":1531,"_146":1532},"b60afaca18a0",[438,615],"model=model,",[],{"_30":1535,"_16":267,"_268":1536,"_276":1541,"_278":279},"cdc9aafe831d",[1537],{"_30":1538,"_16":272,"_273":1539,"_146":1540},"5ac7aa6b8705",[438,615],"args=training_args,",[],{"_30":1543,"_16":267,"_268":1544,"_276":1549,"_278":279},"760bf0516762",[1545],{"_30":1546,"_16":272,"_273":1547,"_146":1548},"42a6941e2e4e",[438,615],"train_dataset=train_dataset,",[],{"_30":1551,"_16":267,"_268":1552,"_276":1557,"_278":279},"f197bcd8125b",[1553],{"_30":1554,"_16":272,"_273":1555,"_146":1556},"c0838d965b2e",[438,615],"eval_dataset=eval_dataset",[],{"_30":1559,"_16":267,"_268":1560,"_276":1564,"_278":279},"c839bad36ca8",[1561],{"_30":1562,"_16":272,"_273":1563,"_146":1516},"c662b5d7baf6",[438,615],[],{"_30":1566,"_16":267,"_268":1567,"_276":1572,"_278":279},"7c3a52353a55",[1568],{"_30":1569,"_16":272,"_273":1570,"_146":1571},"3472f55aa982",[438,615],"trainer.train()",[],{"_30":1574,"_16":267,"_268":1575,"_276":1579,"_278":279},"de5474cb5b93",[1576],{"_30":1577,"_16":272,"_273":1578,"_146":449},"942d3eff0959",[],[],{"_30":1581,"_16":267,"_268":1582,"_276":1587,"_278":279},"9f37638ac791",[1583],{"_30":1584,"_16":272,"_273":1585,"_146":1586},"cd2f66a89499",[615],"Optimization with Stochastic Gradient Descent (SGD)",[],{"_30":1589,"_16":267,"_268":1590,"_276":1604,"_278":279},"319aee8e1d4e",[1591,1595,1600],{"_30":1592,"_16":272,"_273":1593,"_146":1594},"8ab49e9d762d",[],"Modern LLMs often use",{"_30":1596,"_16":272,"_273":1597,"_146":1599},"9d99474cf45b",[1598],"733ef4f43a8d"," Adam or AdamW",{"_30":1601,"_16":272,"_273":1602,"_146":1603},"6eb0407b30b4",[],", which converge faster and handle sparse gradients better than SGD. It may make sense to use SGD only for experimentation or comparison, though if you prefer classic SGD, here’s an example:",[1605],{"_30":1598,"_16":42,"_390":1606},"https://yassin01.medium.com/adam-vs-adamw-understanding-weight-decay-and-its-impact-on-model-performance-b7414f0af8a1",{"_30":1608,"_16":267,"_268":1609,"_276":1613,"_278":279},"efe5b3847037",[1610],{"_30":1611,"_16":272,"_273":1612,"_146":449},"b6948e91d7f1",[],[],{"_30":1615,"_16":267,"_268":1616,"_276":1620,"_278":279},"55ffc54d07f6",[1617],{"_30":1618,"_16":272,"_273":1619,"_146":1067},"845edae625ef",[438,615],[],{"_30":1622,"_16":267,"_268":1623,"_276":1628,"_278":279},"23561d65d7f9",[1624],{"_30":1625,"_16":272,"_273":1626,"_146":1627},"4a399447798e",[438,615],"import torch.optim as optim",[],{"_30":1630,"_16":267,"_268":1631,"_276":1636,"_278":279},"b0d4eb23547a",[1632],{"_30":1633,"_16":272,"_273":1634,"_146":1635},"4aea7793b08c",[438,615],"optimizer = optim.SGD(model.parameters(), lr=0.01)",[],{"_30":1638,"_16":267,"_268":1639,"_276":1643,"_278":279},"803c4966d679",[1640],{"_30":1641,"_16":272,"_273":1642,"_146":449},"fc5ba022e8ad",[615],[],{"_30":1645,"_16":267,"_268":1646,"_276":1651,"_278":279},"36275908bc18",[1647],{"_30":1648,"_16":272,"_273":1649,"_146":1650},"9a4f7de5915b",[615],"Test and Interpret the Results:",[],{"_30":1653,"_16":267,"_268":1654,"_276":1659,"_278":279},"ccb1288ce6fe",[1655],{"_30":1656,"_16":272,"_273":1657,"_146":1658},"c11c9dcee08c",[],"Your next steps should include evaluating your model’s loss, perplexity, and task-specific metrics:",[],{"_30":1661,"_16":267,"_268":1662,"_276":1666,"_278":279},"1beb74d560ad",[1663],{"_30":1664,"_16":272,"_273":1665,"_146":449},"9577f6aef483",[],[],{"_30":1668,"_16":267,"_268":1669,"_276":1673,"_278":279},"31fa048f7728",[1670],{"_30":1671,"_16":272,"_273":1672,"_146":1067},"6476628fb0ac",[438,615],[],{"_30":1675,"_16":267,"_268":1676,"_276":1681,"_278":279},"00f123d0cdaa",[1677],{"_30":1678,"_16":272,"_273":1679,"_146":1680},"dc207d176a0b",[438,615],"trainer.evaluate()",[],{"_30":1683,"_16":267,"_268":1684,"_276":1688,"_278":279},"7d1c847fb434",[1685],{"_30":1686,"_16":272,"_273":1687,"_146":449},"c50b2a7597b9",[615],[],{"_30":1690,"_16":267,"_268":1691,"_276":1696,"_278":279},"5c65b9597a49",[1692],{"_30":1693,"_16":272,"_273":1694,"_146":1695},"51185e078604",[],"To further break down the evaluation criteria, let’s look at each category:",[],{"_30":1698,"_16":267,"_268":1699,"_521":522,"_523":524,"_276":1708,"_278":279},"c7b1f3da17ee",[1700,1704],{"_30":1701,"_16":272,"_273":1702,"_146":1703},"3be42d86e398",[615],"Perplexity:",{"_30":1705,"_16":272,"_273":1706,"_146":1707},"7c1011819446",[]," The exponentiated average loss. This is the go-to metric that tells you how “confused” the model is when predicting the next token. Lower perplexity means more confidence and accuracy in its predictions.",[],{"_30":1710,"_16":267,"_268":1711,"_521":522,"_523":524,"_276":1720,"_278":279},"43decf5bbefc",[1712,1716],{"_30":1713,"_16":272,"_273":1714,"_146":1715},"5ae741664ee0",[615],"Loss:",{"_30":1717,"_16":272,"_273":1718,"_146":1719},"c86f3f642510",[]," How far off the model’s predictions are from the correct answers (ground truth). It's computed during training using a function, which is usually cross-entropy loss for language models.",[],{"_30":1722,"_16":267,"_268":1723,"_521":522,"_523":524,"_276":1766,"_278":279},"ee32d65601af",[1724,1728,1732,1737,1740,1745,1749,1754,1757,1762],{"_30":1725,"_16":272,"_273":1726,"_146":1727},"f716ad6339bf",[615],"Task-Specific Metrics:",{"_30":1729,"_16":272,"_273":1730,"_146":1731},"e5b50c99fa5d",[]," Measure the model’s performance on the actual job it’s intended to do, rather than just general language ability. For example, If your LLM is summarizing text, you might use",{"_30":1733,"_16":272,"_273":1734,"_146":1736},"eb487ba6a725",[1735],"ad16f5ad82ba"," ROUGE",{"_30":1738,"_16":272,"_273":1739,"_146":1149},"7dfbde7a427c",[],{"_30":1741,"_16":272,"_273":1742,"_146":1744},"a4652cab3750",[1743],"476e60e9c057"," BLEU",{"_30":1746,"_16":272,"_273":1747,"_146":1748},"25ca19ba4ef0",[]," scores. If it’s answering questions,",{"_30":1750,"_16":272,"_273":1751,"_146":1753},"f8dd778eb897",[1752],"e85726a61feb"," Exact Match (EM)",{"_30":1755,"_16":272,"_273":1756,"_146":1149},"7c94df5209f7",[],{"_30":1758,"_16":272,"_273":1759,"_146":1761},"2120813ad565",[1760],"1d0861d72c3f"," F1 score",{"_30":1763,"_16":272,"_273":1764,"_146":1765},"a04d9651ccbc",[]," might be better. Each metric captures success in a way that generic benchmarks cannot.",[1767,1769,1771,1773],{"_30":1735,"_16":42,"_390":1768},"https://en.wikipedia.org/wiki/ROUGE_(metric)#:~:text=ROUGE%2C%20or%20Recall%2DOriented%20Understudy,produced%20summary%20and%20the%20reference.",{"_30":1743,"_16":42,"_390":1770},"https://cloud.google.com/translate/docs/advanced/automl-evaluate#:~:text=BLEU%20(BiLingual%20Evaluation%20Understudy)%20is,of%20high%20quality%20reference%20translations.",{"_30":1752,"_16":42,"_390":1772},"https://huggingface.co/spaces/evaluate-metric/exact_match",{"_30":1760,"_16":42,"_390":1774},"https://arize.com/blog-course/f1-score/",{"_30":1776,"_16":267,"_268":1777,"_276":1782,"_278":279},"97559d290eaf",[1778],{"_30":1779,"_16":272,"_273":1780,"_146":1781},"233142bc42cf",[],"As a general rule, during training, you’ll want to measure log loss and perplexity after every epoch/batch. At the validation stage, you’ll calculate all your metrics on a held-out dataset.",[],{"_30":1784,"_16":267,"_268":1785,"_276":1790,"_278":512},"df1ea9b1376b",[1786],{"_30":1787,"_16":272,"_273":1788,"_146":1789},"045b2164cbeb",[],"Step 5: Modify Parameters (Hyperparameter Tuning)",[],{"_30":1792,"_16":267,"_268":1793,"_276":1798,"_278":279},"5fae69f58a3d",[1794],{"_30":1795,"_16":272,"_273":1796,"_146":1797},"78601768863c",[],"With proper tuning, your LLM will train faster, generalize better, and perform more accurately on its assigned custom tasks.",[],{"_30":1800,"_16":267,"_268":1801,"_276":1811,"_278":279},"97aca39f519d",[1802,1807],{"_30":1803,"_16":272,"_273":1804,"_146":1806},"6b8121d8a492",[1805],"42fb16328577","Hyperparameter tuning",{"_30":1808,"_16":272,"_273":1809,"_146":1810},"aeff30708c93",[]," is the process of systematically adjusting the configuration settings that control how a machine learning model learns during training. Unlike model parameters (like weights and biases, which are learned from data), hyperparameters are set manually before training begins.",[1812],{"_30":1805,"_16":42,"_390":1813},"https://www.geeksforgeeks.org/machine-learning/hyperparameter-tuning/",{"_30":1815,"_16":267,"_268":1816,"_276":1821,"_278":279},"6c72e6c7994a",[1817],{"_30":1818,"_16":272,"_273":1819,"_146":1820},"4cd88078b2f6",[],"When training LLMs, tuning hyperparameters is crucial to getting better performance, especially on custom or domain-specific datasets.",[],{"_30":1823,"_16":267,"_268":1824,"_276":1829,"_278":279},"f49d754c7a9d",[1825],{"_30":1826,"_16":272,"_273":1827,"_146":1828},"7c61fa736ffc",[],"Since LLMs are incredibly sensitive to how they’re trained, even small changes in hyperparameters can lead to noticeable differences in output quality or model accuracy. Once you determine the correct hyperparameters, you can:",[],{"_30":1831,"_16":267,"_268":1832,"_521":522,"_523":524,"_276":1837,"_278":279},"3f19f70694f4",[1833],{"_30":1834,"_16":272,"_273":1835,"_146":1836},"842428f1567d",[],"Speed up convergence",[],{"_30":1839,"_16":267,"_268":1840,"_521":522,"_523":524,"_276":1845,"_278":279},"554c7b4f5f72",[1841],{"_30":1842,"_16":272,"_273":1843,"_146":1844},"05fdf320eb25",[],"Prevent overfitting or underfitting",[],{"_30":1847,"_16":267,"_268":1848,"_521":522,"_523":524,"_276":1853,"_278":279},"24392989b78d",[1849],{"_30":1850,"_16":272,"_273":1851,"_146":1852},"4a4dce7ccb3e",[],"Improve generalization to unseen text",[],{"_30":1855,"_16":267,"_268":1856,"_521":522,"_523":524,"_276":1861,"_278":279},"40f5c7c7f77a",[1857],{"_30":1858,"_16":272,"_273":1859,"_146":1860},"f4c9553ee0d1",[],"Reduce training time and cost",[],{"_30":1863,"_16":267,"_268":1864,"_276":1869,"_278":279},"c529c93a665e",[1865],{"_30":1866,"_16":272,"_273":1867,"_146":1868},"06cabb907ee9",[],"Hyperparameters you can tweak include:",[],{"_30":1871,"_16":267,"_268":1872,"_521":522,"_523":524,"_276":1881,"_278":279},"974389a6076e",[1873,1877],{"_30":1874,"_16":272,"_273":1875,"_146":1876},"887a2f183482",[615],"Learning Rate:",{"_30":1878,"_16":272,"_273":1879,"_146":1880},"3dc75f96c597",[]," Controls how much model weights are adjusted during backpropagation.",[],{"_30":1883,"_16":267,"_268":1884,"_521":522,"_523":524,"_276":1893,"_278":279},"cec6fa306772",[1885,1889],{"_30":1886,"_16":272,"_273":1887,"_146":1888},"20588ef0694c",[615],"Batch Size:",{"_30":1890,"_16":272,"_273":1891,"_146":1892},"d229a4d0ef54",[]," Number of samples processed before the model updates weights.",[],{"_30":1895,"_16":267,"_268":1896,"_521":522,"_523":524,"_276":1905,"_278":279},"c713036aff40",[1897,1901],{"_30":1898,"_16":272,"_273":1899,"_146":1900},"2f7898094d9e",[615],"Number of Epochs:",{"_30":1902,"_16":272,"_273":1903,"_146":1904},"34c43e6442ee",[]," How many times the model sees the entire training dataset.",[],{"_30":1907,"_16":267,"_268":1908,"_521":522,"_523":524,"_276":1917,"_278":279},"71623e76255e",[1909,1913],{"_30":1910,"_16":272,"_273":1911,"_146":1912},"5e69272ebe6b",[615],"Weight Decay:",{"_30":1914,"_16":272,"_273":1915,"_146":1916},"23ec9cab36ae",[]," L2 regularization that penalizes large weights.",[],{"_30":1919,"_16":267,"_268":1920,"_521":522,"_523":524,"_276":1929,"_278":279},"1ea478e3de2a",[1921,1925],{"_30":1922,"_16":272,"_273":1923,"_146":1924},"79dced7bec7d",[615],"Dropout Rate:",{"_30":1926,"_16":272,"_273":1927,"_146":1928},"782ec0f63087",[]," The probability of dropping a unit during training to help prevent overfitting.",[],{"_30":1931,"_16":267,"_268":1932,"_521":522,"_523":524,"_276":1941,"_278":279},"a0645a6fde8e",[1933,1937],{"_30":1934,"_16":272,"_273":1935,"_146":1936},"a9ed516204f4",[615],"Warmup Steps:",{"_30":1938,"_16":272,"_273":1939,"_146":1940},"de30c74005db",[]," Gradually increases the learning rate from zero to its target value over these steps.",[],{"_30":1943,"_16":267,"_268":1944,"_521":522,"_523":524,"_276":1953,"_278":279},"eee5d08334f2",[1945,1949],{"_30":1946,"_16":272,"_273":1947,"_146":1948},"9c21862343ee",[615],"Gradient Clipping:",{"_30":1950,"_16":272,"_273":1951,"_146":1952},"c9778bc2f030",[]," Prevents exploding gradients by capping the norm of the gradient vector.",[],{"_30":1955,"_16":267,"_268":1956,"_521":522,"_523":524,"_276":1965,"_278":279},"4fc53cba0135",[1957,1961],{"_30":1958,"_16":272,"_273":1959,"_146":1960},"dde3c9107361",[615],"Sequence Length:",{"_30":1962,"_16":272,"_273":1963,"_146":1964},"96f8989694a5",[]," Defines how many tokens the model can handle at once.",[],{"_30":1967,"_16":267,"_268":1968,"_276":2000,"_278":279},"f2b558b3a426",[1969,1973,1978,1982,1987,1991,1996],{"_30":1970,"_16":272,"_273":1971,"_146":1972},"ce7f358346f6",[],"You can use tools like",{"_30":1974,"_16":272,"_273":1975,"_146":1977},"e9bb94e613d3",[1976],"5b3b6897ecb3"," Weights & Biases",{"_30":1979,"_16":272,"_273":1980,"_146":1981},"e709e132aeef",[],",",{"_30":1983,"_16":272,"_273":1984,"_146":1986},"700709d7efd0",[1985],"d1feea0d0b06"," Optuna",{"_30":1988,"_16":272,"_273":1989,"_146":1990},"7d24157de1f5",[],", or",{"_30":1992,"_16":272,"_273":1993,"_146":1995},"c7739b8777ed",[1994],"3fe99a3e8b12"," Ray Tune",{"_30":1997,"_16":272,"_273":1998,"_146":1999},"a1b380b98145",[]," to automate tuning. It’s a good idea to not try to tune everything at once, which can muddle your results. Instead, it can be better to prioritize by learning rate, batch size, and epochs first, then work your way down.",[2001,2003,2005],{"_30":1976,"_16":42,"_390":2002},"https://wandb.ai/site/",{"_30":1985,"_16":42,"_390":2004},"https://optuna.org/",{"_30":1994,"_16":42,"_390":2006},"https://docs.ray.io/en/latest/tune/index.html",{"_30":2008,"_16":267,"_268":2009,"_276":2014,"_278":279},"f389ac8f5cea",[2010],{"_30":2011,"_16":272,"_273":2012,"_146":2013},"d4b87daac937",[],"It’s also helpful to evaluate your model using metrics like perplexity, BLEU score, or custom task-based metrics. It’s also a good idea to use a validation dataset to avoid overfitting:",[],{"_30":2016,"_16":267,"_268":2017,"_276":2021,"_278":279},"0763d6965500",[2018],{"_30":2019,"_16":272,"_273":2020,"_146":449},"1d263e8f784d",[],[],{"_30":2023,"_16":267,"_268":2024,"_276":2028,"_278":279},"6fd651c4eedf",[2025],{"_30":2026,"_16":272,"_273":2027,"_146":1067},"1843b399e242",[615,438],[],{"_30":2030,"_16":267,"_268":2031,"_276":2036,"_278":279},"aefb24996daa",[2032],{"_30":2033,"_16":272,"_273":2034,"_146":2035},"962ff56cf38f",[438,615],"# Example of evaluating perplexity",[],{"_30":2038,"_16":267,"_268":2039,"_276":2043,"_278":279},"18f4b1e815e6",[2040],{"_30":2041,"_16":272,"_273":2042,"_146":1354},"218e28f0d136",[438,615],[],{"_30":2045,"_16":267,"_268":2046,"_276":2051,"_278":279},"bd8c86184b5e",[2047],{"_30":2048,"_16":272,"_273":2049,"_146":2050},"ca571658f114",[438,615],"import math",[],{"_30":2053,"_16":267,"_268":2054,"_276":2058,"_278":279},"3b926cb8a1e7",[2055],{"_30":2056,"_16":272,"_273":2057,"_146":449},"adb9bd6c811d",[438,615],[],{"_30":2060,"_16":267,"_268":2061,"_276":2066,"_278":279},"585346723dd6",[2062],{"_30":2063,"_16":272,"_273":2064,"_146":2065},"ea484efe11a9",[438,615],"loss = trainer.evaluate()[\"eval_loss\"]",[],{"_30":2068,"_16":267,"_268":2069,"_276":2074,"_278":279},"3b32039df124",[2070],{"_30":2071,"_16":272,"_273":2072,"_146":2073},"39a88b4f515e",[438,615],"perplexity = math.exp(loss)",[],{"_30":2076,"_16":267,"_268":2077,"_276":2081,"_278":279},"912a266897af",[2078],{"_30":2079,"_16":272,"_273":2080,"_146":449},"8d3ee1acf062",[438,615],[],{"_30":2083,"_16":267,"_268":2084,"_276":2089,"_278":353},"0b5bc24b5cd8",[2085],{"_30":2086,"_16":272,"_273":2087,"_146":2088},"64ddc42c1151",[],"Final Thoughts",[],{"_30":2091,"_16":267,"_268":2092,"_276":2097,"_278":279},"4abed40b0b9e",[2093],{"_30":2094,"_16":272,"_273":2095,"_146":2096},"c0790557994b",[],"Training an LLM on your own data is no longer the exclusive domain of large research teams. With open-source tools, pre-trained models, and cloud-based compute, individual developers and small teams can create powerful, domain-specific LLMs.",[],{"_30":2099,"_16":267,"_268":2100,"_276":2105,"_278":279},"175af515bc15",[2101],{"_30":2102,"_16":272,"_273":2103,"_146":2104},"1a5618536edd",[],"If you’re exploring how to use LLMs to enhance your product or automate domain-specific tasks, this process can be your foundation.",[],16,"https://cdn.sanity.io/images/50q6fr1p/production/8e8929c5f8dd5dc2ce680a42da0d34ae82eb1429-1200x630.png","9470de57-6303-4af4-b60d-1d1db51c2f96","2025-09-04T05:25:00.000Z","train-LLM-on-own-data","How to Train an LLM on Your Own Data: Beginner’s Guide","blogArticle",{"_286":2114,"_296":2708,"_122":2709,"_299":2710,"_301":2711,"_303":2712,"_25":2713,"_306":2112},[2115,2145,2171,2179,2248,2251,2259,2270,2280,2291,2302,2313,2316,2335,2343,2351,2359,2367,2375,2399,2415,2423,2431,2439,2455,2471,2479,2487,2495,2503,2511,2519,2527,2535,2543,2567,2597,2605,2621,2629,2637,2652,2676,2684,2692,2700],{"_30":2116,"_16":267,"_268":2117,"_276":2140,"_278":279},"43659b6391dd",[2118,2122,2127,2131,2136],{"_30":2119,"_16":272,"_273":2120,"_146":2121},"927b289006d6",[],"There’s a great deal of interest in whether AI can (or can’t) provide value by increasing the productivity of engineering teams. This interview with developer productivity expert ",{"_30":2123,"_16":272,"_273":2124,"_146":2126},"4cf5db46e155",[2125],"95e1fbdbf193","Laura Tacho",{"_30":2128,"_16":272,"_273":2129,"_146":2130},"40df936ad7f6",[],", CTO at ",{"_30":2132,"_16":272,"_273":2133,"_146":2135},"b802c9019cfb",[2134],"8ff8cc5bc838","DX",{"_30":2137,"_16":272,"_273":2138,"_146":2139},"846d79533c84",[]," and 10+ year veteran of software development, covers opportunities for engineering orgs to take advantage of AI tooling and actionable suggestions for AI startup founders to build stickier, more-successful products for engineering end-customers.",[2141,2143],{"_30":2125,"_16":42,"_390":2142},"https://www.linkedin.com/in/lauratacho/",{"_30":2134,"_16":42,"_390":2144},"https://getdx.com",{"_30":2146,"_16":110,"_417":2147,"_111":2148,"_421":2150,"_423":2151,"_424":2152},"05a2a798afb4","Heavybit: Laura Tacho on Developer Productivity",{"_113":2149,"_16":115},"image-6f4a116db24ba9b19bc0e228af8dbec9c5ced77e-1600x686-png","LeadDev","Laura Tacho on Developer Productivity",[2153],{"_30":2154,"_16":267,"_268":2155,"_276":2168,"_278":279},"4768f3449404",[2156,2160,2164],{"_30":2157,"_16":272,"_273":2158,"_146":2159},"62d291476462",[438],"DX CTO Laura Tacho discusses developer productivity at ",{"_30":2161,"_16":272,"_273":2162,"_146":2150},"436029a6c9e5",[2163,438,437,615],"23125357c064",{"_30":2165,"_16":272,"_273":2166,"_146":2167},"7435e2a5b07e",[438],". Image courtesy LeadDev.",[2169],{"_30":2163,"_16":42,"_390":2170},"https://www.youtube.com/watch?v=b2BZi9xpYUU",{"_30":2172,"_16":267,"_268":2173,"_276":2178,"_278":353},"211070079858",[2174],{"_30":2175,"_16":272,"_273":2176,"_146":2177},"31766a44c486",[],"How Are Engineering Teams Using AI?",[],{"_30":2180,"_16":267,"_268":2181,"_276":2235,"_278":279},"cae011a3a85c",[2182,2187,2191,2196,2200,2205,2209,2214,2217,2222,2226,2231],{"_30":2183,"_16":272,"_273":2184,"_146":2186},"279382289e8e",[2185],"3d8d095daee5","78%",{"_30":2188,"_16":272,"_273":2189,"_146":2190},"fe46d0de453d",[]," of surveyed companies use AI, though only ",{"_30":2192,"_16":272,"_273":2193,"_146":2195},"c368492e4095",[2194],"33cc7615edd1","3%",{"_30":2197,"_16":272,"_273":2198,"_146":2199},"428a143cc876",[]," of engineering leaders report achieving “very high” productivity gains. The most widely-reported use case for AI is code assistants, including high-profile products like ",{"_30":2201,"_16":272,"_273":2202,"_146":2204},"9f40c590a76e",[2203],"5864e3a8ad63","GitHub Copilot",{"_30":2206,"_16":272,"_273":2207,"_146":2208},"7eeec9ce4df5",[],", ",{"_30":2210,"_16":272,"_273":2211,"_146":2213},"a6d44e3c7077",[2212],"9e4782f74bfe","Claude Code",{"_30":2215,"_16":272,"_273":2216,"_146":2208},"e60b3bfde376",[],{"_30":2218,"_16":272,"_273":2219,"_146":2221},"db5cdf3e9e06",[2220],"05c6998d6e09","Cursor",{"_30":2223,"_16":272,"_273":2224,"_146":2225},"4f08f86ca1a3",[],", and ",{"_30":2227,"_16":272,"_273":2228,"_146":2230},"76270a624ed7",[2229],"be8ef595a7fd","Continue",{"_30":2232,"_16":272,"_273":2233,"_146":2234},"5e8f3dbd7e7d",[],", but there are still adoption challenges that might not have anything to do with productivity.",[2236,2238,2240,2242,2244,2246],{"_30":2185,"_16":42,"_390":2237},"https://hai.stanford.edu/ai-index/2025-ai-index-report",{"_30":2194,"_16":42,"_390":2239},"https://www.itpro.com/business/business-strategy/engineering-firms-see-little-productivity-benefit-from-use-of-ai",{"_30":2203,"_16":42,"_390":2241},"https://github.com/features/copilot",{"_30":2212,"_16":42,"_390":2243},"https://www.anthropic.com/claude-code",{"_30":2220,"_16":42,"_390":2245},"https://cursor.com/",{"_30":2229,"_16":42,"_390":2247},"https://www.continue.dev/",{"_30":2249,"_16":122,"_111":2250},"c9f62ac9e519",{"_113":503,"_16":115},{"_30":2252,"_16":267,"_268":2253,"_276":2258,"_278":512},"549ece4c149a",[2254],{"_30":2255,"_16":272,"_273":2256,"_146":2257},"c663a0619ca0",[],"More Resources on Dev Productivity & AI Adoption",[],{"_30":2260,"_16":267,"_268":2261,"_521":522,"_523":524,"_276":2267,"_278":279},"1d712341d1d8",[2262],{"_30":2263,"_16":272,"_273":2264,"_146":2266},"c3d5945a6357",[2265],"f7c6aea34970","Article: Productivity and Mental Health Resources for Remote Teams",[2268],{"_30":2265,"_16":42,"_390":2269},"https://www.heavybit.com/library/article/productivity-and-mental-health-resources-for-remote-teams",{"_30":2271,"_16":267,"_268":2272,"_521":522,"_523":524,"_276":2278,"_278":279},"26ad1de48ddf",[2273],{"_30":2274,"_16":272,"_273":2275,"_146":2277},"56d6a101d23b",[2276],"08f01e88b385","Article: Enterprise AI Infrastructure: Compliance, Risks, Adoption",[2279],{"_30":2276,"_16":42,"_390":391},{"_30":2281,"_16":267,"_268":2282,"_521":522,"_523":524,"_276":2288,"_278":279},"3361aa1844ed",[2283],{"_30":2284,"_16":272,"_273":2285,"_146":2287},"ea3c8829cb3c",[2286],"b8a655acb6c0","Article: How AI Is Reshaping Enterprise Infrastructure",[2289],{"_30":2286,"_16":42,"_390":2290},"https://www.heavybit.com/library/article/how-ai-is-reshaping-enterprise-infrastructure",{"_30":2292,"_16":267,"_268":2293,"_521":522,"_523":524,"_276":2299,"_278":279},"035d81f9dbda",[2294],{"_30":2295,"_16":272,"_273":2296,"_146":2298},"00b4f4a9f4c8",[2297],"e4a185d7155f","Article: The Future of AI Code Generation",[2300],{"_30":2297,"_16":42,"_390":2301},"https://www.heavybit.com/library/article/future-of-ai-code-generation",{"_30":2303,"_16":267,"_268":2304,"_521":522,"_523":524,"_276":2310,"_278":279},"1c9676f6c904",[2305],{"_30":2306,"_16":272,"_273":2307,"_146":2309},"4c377764a00f",[2308],"d68bb634ab4a","Article: What to Know About Pricing Developer Tools",[2311],{"_30":2308,"_16":42,"_390":2312},"https://www.heavybit.com/library/article/pricing-developer-tools",{"_30":2314,"_16":122,"_111":2315},"47727a0a412b",{"_113":503,"_16":115},{"_30":2317,"_16":267,"_268":2318,"_276":2332,"_278":279},"579f45ebc6b4",[2319,2323,2328],{"_30":2320,"_16":272,"_273":2321,"_146":2322},"53b723db8b75",[],"While coding may seem to make sense for AI use cases because of how familiar it is to devs, it may not be the best opportunity. Says Tacho, “We have to look across the whole software development lifecycle to see productivity gains. We did a study of 180+ companies, and we found that for developers using AI, the number one time-saving use case was ",{"_30":2324,"_16":272,"_273":2325,"_146":2327},"079f140309be",[2326],"57e204ada84b","stack trace",{"_30":2329,"_16":272,"_273":2330,"_146":2331},"7bb573c02a82",[]," analysis, not code generation.”",[2333],{"_30":2326,"_16":42,"_390":2334},"https://en.wikipedia.org/wiki/Stack_trace",{"_30":2336,"_16":267,"_268":2337,"_276":2342,"_278":353},"3046b26f6937",[2338],{"_30":2339,"_16":272,"_273":2340,"_146":2341},"c473f9c9622d",[],"Why Don’t Engineers Adopt AI?",[],{"_30":2344,"_16":267,"_268":2345,"_276":2350,"_278":279},"9769fdf968f2",[2346],{"_30":2347,"_16":272,"_273":2348,"_146":2349},"895c44f07acf",[],"The CTO suggests that while the difference between inflated expectations and the disappointing reality of cleaning up after messy, nondeterministic AI is an adoption barrier, there are practical obstacles as well. “I would say training and enablement are probably the largest barrier.”",[],{"_30":2352,"_16":267,"_268":2353,"_276":2358,"_278":279},"48dea0e75c3f",[2354],{"_30":2355,"_16":272,"_273":2356,"_146":2357},"bfe00b45ed97",[],"“It’s not intuitively obvious, even for teams with lots of enthusiasm and optimism, where the highest-value use cases are hiding for a particular organization. Some patterns need to be taught and coached, just like with any other tool. Companies that skip that step (and try to rely on the optimism and enthusiasm of an individual developer) may see some initial success, but then they're going to see that success taper off.”",[],{"_30":2360,"_16":267,"_268":2361,"_276":2366,"_278":353},"469487ec8b53",[2362],{"_30":2363,"_16":272,"_273":2364,"_146":2365},"a16b4178d3be",[],"What’s Really Missing: Targeted Goals & Outcomes",[],{"_30":2368,"_16":267,"_268":2369,"_276":2374,"_278":279},"dccd3220193f",[2370],{"_30":2371,"_16":272,"_273":2372,"_146":2373},"c580b1ba4ef8",[],"So yes, individual devs may not use the company Copilot account more frequently because they haven’t been drilled on prompting best practices. However, entire engineering organizations may not be getting as much as they could from AI tools because there’s a lack of strategy.",[],{"_30":2376,"_16":267,"_268":2377,"_276":2398,"_278":279},"ce1c6cc5fc06",[2378,2382,2386,2390,2394],{"_30":2379,"_16":272,"_273":2380,"_146":2381},"6adc5ab9486d",[],"“I think where the rubber isn't meeting the road is figuring out: What are the business problems in the company that have the most to gain from AI usage?” The CTO clarifies: “There ",{"_30":2383,"_16":272,"_273":2384,"_146":2385},"c5ba9c4f68ef",[438],"should",{"_30":2387,"_16":272,"_273":2388,"_146":2389},"f07293fa6cb1",[]," be room for experimentation. There should be time to try something new and figure out: OK, what can we do with this tool? But when it's only ",{"_30":2391,"_16":272,"_273":2392,"_146":2393},"5f9df2d9d4c6",[438],"that",{"_30":2395,"_16":272,"_273":2396,"_146":2397},"e379adfcef8b",[],", and we don't have targeted goals and outcomes, then things can go off the rails.”",[],{"_30":2400,"_16":267,"_268":2401,"_276":2414,"_278":279},"2806b926c74f",[2402,2406,2410],{"_30":2403,"_16":272,"_273":2404,"_146":2405},"20ca35d47b12",[],"“The companies where I see the most adoption and the most durable benefit from AI are ones that came to AI ",{"_30":2407,"_16":272,"_273":2408,"_146":2409},"616c0fc5205d",[438],"with a specific problem",{"_30":2411,"_16":272,"_273":2412,"_146":2413},"388b7f348ed9",[],". For example: Companies that needed to modernize legacy infrastructure, and hypothesized that AI would help them modernize legacy components much faster than they could have previously.”",[],{"_30":2416,"_16":267,"_268":2417,"_276":2422,"_278":279},"5b354084e16b",[2418],{"_30":2419,"_16":272,"_273":2420,"_146":2421},"12e82b130519",[],"“Organizations that want to see organizational benefit need to think about this on an organizational level, not just rely on individuals figuring out what to do.”",[],{"_30":2424,"_16":267,"_268":2425,"_276":2430,"_278":353},"67040ffdada8",[2426],{"_30":2427,"_16":272,"_273":2428,"_146":2429},"3192c3835391",[],"How Can Startups Make the Most of AI?",[],{"_30":2432,"_16":267,"_268":2433,"_276":2438,"_278":279},"c31c1f6f739b",[2434],{"_30":2435,"_16":272,"_273":2436,"_146":2437},"e85f2ae6eb02",[],"Tacho concedes that different organizations with different resources (and different amounts of runway) will need to take different approaches. “I think you need to look at it as a spectrum of targeted experiments vs. targeted use cases. That proportion needs to be adjusted based on your company’s size and stage.”",[],{"_30":2440,"_16":267,"_268":2441,"_276":2454,"_278":279},"13620c1b08a7",[2442,2446,2450],{"_30":2443,"_16":272,"_273":2444,"_146":2445},"685874eb3c2b",[],"“For startups, those ",{"_30":2447,"_16":272,"_273":2448,"_146":2449},"4c1536f1ca42",[438],"are",{"_30":2451,"_16":272,"_273":2452,"_146":2453},"d0220dd97143",[]," the environments where the individual can have a huge impact. So it would make sense for people to be experimenting, to be rapidly figuring out where they can exploit the capabilities of AI for your business. But you should document that as you go and make sure it's not just one individual deciding to do one-off things. Build a playbook of use cases that aren’t ephemeral.”",[],{"_30":2456,"_16":267,"_268":2457,"_276":2469,"_278":2470},"c228156c21bf",[2458,2462,2465],{"_30":2459,"_16":272,"_273":2460,"_146":2461},"9d6d3ffd9258",[],"The companies where I see the most adoption and the most durable benefit from AI are ones that came to AI ",{"_30":2463,"_16":272,"_273":2464,"_146":2409},"21b77ac6de87",[438],{"_30":2466,"_16":272,"_273":2467,"_146":2468},"a0dd1112265f",[],".\" -Laura Tacho / CTO, DX",[],"blockquote",{"_30":2472,"_16":267,"_268":2473,"_276":2478,"_278":279},"9cbbe1b594fb",[2474],{"_30":2475,"_16":272,"_273":2476,"_146":2477},"dfbb3abbb75b",[],"“Depending on the market pressures on your business, that's going to dictate how you think about a rollout. Obviously, for startups that rely heavily on individual rigor and urgency in order to get work done, the AI strategy is going to fit better with focus on individuals or small teams. Larger organizations that are dealing with decades’ worth of legacy software need to take a different approach.”",[],{"_30":2480,"_16":267,"_268":2481,"_276":2486,"_278":353},"b6fd364a6a61",[2482],{"_30":2483,"_16":272,"_273":2484,"_146":2485},"6383886779c0",[],"How Should Engineering Teams Adopt AI?",[],{"_30":2488,"_16":267,"_268":2489,"_276":2494,"_278":279},"14628ec7a3ab",[2490],{"_30":2491,"_16":272,"_273":2492,"_146":2493},"0644eb3d81e9",[],"The CTO empathizes with AI startup founders, who face mounting pressure from a market that moves incredibly fast. “I feel like AI tooling is being commoditized at a rate I have never seen before. A few months ago, when people evaluated tools, they were looking at which model they could use. It was a differentiating feature. And now you can use whichever model you want. Sometimes it feels like things change hourly.”",[],{"_30":2496,"_16":267,"_268":2497,"_276":2502,"_278":279},"8ef01b409a4f",[2498],{"_30":2499,"_16":272,"_273":2500,"_146":2501},"d51e49bfa956",[],"However, the CTO notes the increasingly competitive nature of some AI product lines is at odds with the organizational benefit of keeping a unified stack, despite individual developers continuing to crave autonomy. “This is a tough one. The reality is that engineering leads feel that business pressure for vendor consolidation. No company wants to be forking over more money for an arbitrary number of vendors that all more or less solve the same problems.”",[],{"_30":2504,"_16":267,"_268":2505,"_276":2510,"_278":279},"f7b36798e60a",[2506],{"_30":2507,"_16":272,"_273":2508,"_146":2509},"66f553aae4c5",[],"Tacho suggests that a viable alternative for startups is to offer developer stipends to allow them freedom of choice. “It’s definitely a reasonable alternative, especially in a startup environment that may be a bit more open with regards to governance, risk, and security. It’ll also depend on whether you work in consumer vs. another industry.”",[],{"_30":2512,"_16":267,"_268":2513,"_276":2518,"_278":279},"5b7ef7b4a362",[2514],{"_30":2515,"_16":272,"_273":2516,"_146":2517},"3aa561d546e0",[],"The CTO notes that other companies do attempt to consolidate around single vendors, using targeted proof-of-concept campaigns and running bake-off comparisons between competing vendors when needed. “Some companies decide that since the market's so volatile that they’re going to trial something for six months and then figure out if things stabilize.”",[],{"_30":2520,"_16":267,"_268":2521,"_276":2526,"_278":279},"0b4d6c188f7f",[2522],{"_30":2523,"_16":272,"_273":2524,"_146":2525},"27a8a1a77ff3",[],"“I think no matter what approach an organization takes, there are going to be shadow AI tools out there because these are tools that right now are not prohibitively expensive for developers to pay for by themselves, and that is the reality, and it happens everywhere.",[],{"_30":2528,"_16":267,"_268":2529,"_276":2534,"_278":353},"e0a9a743391f",[2530],{"_30":2531,"_16":272,"_273":2532,"_146":2533},"9db58c07f28f",[],"How Can AI Startups Target Developers as Customers?",[],{"_30":2536,"_16":267,"_268":2537,"_276":2542,"_278":279},"4a634dd45258",[2538],{"_30":2539,"_16":272,"_273":2540,"_146":2541},"331f1c91166e",[],"The CTO notes that while certain market factors appear to be changing, the top drivers for purchasing AI tools, or any tools, remain the same. “I just spoke to a bunch of other CTOs, and while cost was not as much of a factor in purchasing decisions last year, it definitely is this year.”",[],{"_30":2544,"_16":267,"_268":2545,"_276":2566,"_278":279},"aa2b664ed034",[2546,2550,2554,2558,2562],{"_30":2547,"_16":272,"_273":2548,"_146":2549},"09c47ebcee3c",[],"“But ",{"_30":2551,"_16":272,"_273":2552,"_146":2553},"f774fb057e93",[438],"accuracy",{"_30":2555,"_16":272,"_273":2556,"_146":2557},"3bcaf1a11cff",[]," and ",{"_30":2559,"_16":272,"_273":2560,"_146":2561},"e45a0323c78c",[438],"security",{"_30":2563,"_16":272,"_273":2564,"_146":2565},"9112abe3800d",[]," are still top drivers for purchasing decisions. I think there's some table-stakes aspects for any AI tool that engineering teams have come to expect. Beyond the table stakes, the more that tools can illustrate better ROI and costs, the better.” Tools that can make usage metrics and data readily available will play nicer with developer productivity tooling to paint a clearer picture of ROI.",[],{"_30":2568,"_16":267,"_268":2569,"_276":2596,"_278":279},"9aff8549c806",[2570,2574,2578,2581,2585,2588,2592],{"_30":2571,"_16":272,"_273":2572,"_146":2573},"f789e6fe71d6",[],"“For a long time, the primary metrics we had were ",{"_30":2575,"_16":272,"_273":2576,"_146":2577},"019ea183d6b0",[438],"acceptance rate",{"_30":2579,"_16":272,"_273":2580,"_146":2208},"59845b7e0654",[],{"_30":2582,"_16":272,"_273":2583,"_146":2584},"79541bcec86f",[438],"number of licenses",{"_30":2586,"_16":272,"_273":2587,"_146":2225},"8d36458ffd19",[],{"_30":2589,"_16":272,"_273":2590,"_146":2591},"0fd4f5313dd7",[438],"how much was being paid for them",{"_30":2593,"_16":272,"_273":2594,"_146":2595},"aad05ba988f9",[],". But there wasn’t much transparency when it came to how tools were actually being used. So focusing on a really robust admin API is a great way to ensure that you can build a defensible ROI case and get people to keep their wallets open.”",[],{"_30":2598,"_16":267,"_268":2599,"_276":2604,"_278":353},"5bb4ab577ce6",[2600],{"_30":2601,"_16":272,"_273":2602,"_146":2603},"477de88b4589",[],"Opportunities for AI Products Targeting Engineering Teams",[],{"_30":2606,"_16":267,"_268":2607,"_276":2620,"_278":279},"93865a87df07",[2608,2612,2616],{"_30":2609,"_16":272,"_273":2610,"_146":2611},"1273a0a32665",[],"“As mentioned, areas like general-purpose code authoring tools may be reaching a level of saturation. But beyond code generation, there are opportunities to target other use cases across the software development lifecycle: Requirements authoring, code review, or changelogs. For AI products targeting engineering teams, the most valuable use cases are the ones that are ",{"_30":2613,"_16":272,"_273":2614,"_146":2615},"c2bd9ce32bc2",[438],"under-solved",{"_30":2617,"_16":272,"_273":2618,"_146":2619},"a4a864a900e9",[]," right now.”",[],{"_30":2622,"_16":267,"_268":2623,"_276":2628,"_278":279},"6e64cdf2d46f",[2624],{"_30":2625,"_16":272,"_273":2626,"_146":2627},"91ee8f9c0a9f",[],"Of course, many teams are still concerned about the non-deterministic nature of GenAI and the havoc that a hallucinating LLM might have on their codebase. However, the CTO notes that organizations that have built-in organizational resiliency tend to be the ones that make the most of AI.",[],{"_30":2630,"_16":267,"_268":2631,"_276":2636,"_278":279},"bba9cbbaf459",[2632],{"_30":2633,"_16":272,"_273":2634,"_146":2635},"5cd8ab410955",[],"“When you introduce AI, in all its non-deterministic glory [to resilient orgs], they're not falling over. They're not bottlenecked. Whereas companies who don't [have organizational resilience] and think that AI will be a magic solution to all the problems they've been avoiding? Those companies are getting a reality check. The fundamentals don't go away just because you have AI.”",[],{"_30":2638,"_16":267,"_268":2639,"_276":2651,"_278":2470},"36375c00e3d1",[2640,2644,2647],{"_30":2641,"_16":272,"_273":2642,"_146":2643},"3df04aba26d5",[],"Beyond code generation, there are opportunities to target other use cases across the software development lifecycle. For AI products targeting engineering teams, the most valuable use cases are the ones that are ",{"_30":2645,"_16":272,"_273":2646,"_146":2615},"ba209d80d01d",[438],{"_30":2648,"_16":272,"_273":2649,"_146":2650},"3f23dea25456",[]," right now.\"",[],{"_30":2653,"_16":267,"_268":2654,"_276":2675,"_278":279},"1569292b9daf",[2655,2659,2663,2667,2671],{"_30":2656,"_16":272,"_273":2657,"_146":2658},"2875d555a615",[],"“I think developer experience is not an outcome of using AI tools really well. It's a ",{"_30":2660,"_16":272,"_273":2661,"_146":2662},"2df82cb79eb4",[438],"prerequisite",{"_30":2664,"_16":272,"_273":2665,"_146":2666},"5eb089fcacc6",[]," to use them well. What's good for an individual human developer is also good for an agent. There's extra stuff that you might want to do for agents, but the physics of what makes software or codebases easy to contribute to, easy to change...that's important for AI agents ",{"_30":2668,"_16":272,"_273":2669,"_146":2670},"eaf4db67aa68",[438],"and",{"_30":2672,"_16":272,"_273":2673,"_146":2674},"661fd03f5d8c",[]," for humans.",[],{"_30":2677,"_16":267,"_268":2678,"_276":2683,"_278":279},"96d624d478ea",[2679],{"_30":2680,"_16":272,"_273":2681,"_146":2682},"98e49bf3fdb0",[],"“AI is an amplifier. If you have parts of your system that are a bit garbage, they're going to be amplified garbage now. And if you have really solid engineering practices that have stayed ahead of the industry curve, then that's going to be amplified and you're going to get even better results.”",[],{"_30":2685,"_16":267,"_268":2686,"_276":2691,"_278":279},"0b66778a3150",[2687],{"_30":2688,"_16":272,"_273":2689,"_146":2690},"22dcc00060db",[],"For AI startup founders specifically targeting engineering orgs, the slickest user interfaces and best new user experiences will only go so far. If those engineering orgs that AI themselves are struggling to maintain stable, resilient systems, they may struggle to succeed with any AI product.",[],{"_30":2693,"_16":267,"_268":2694,"_276":2699,"_278":279},"b5599fcb63e6",[2695],{"_30":2696,"_16":272,"_273":2697,"_146":2698},"8791ada4d0c1",[],"“To those AI product builders who are concerned about whether their product will be sticky with customers, I might say: Maybe think about building tools that fix your customers’ rickety systems. Probably a less exciting problem to solve, but people have their wallets open for it right now.”",[],{"_30":2701,"_16":267,"_268":2702,"_276":2707,"_278":279},"7b92f345cc9a",[2703],{"_30":2704,"_16":272,"_273":2705,"_146":2706},"4ab8a0ba2d26",[],"\n",[],12,"https://cdn.sanity.io/images/50q6fr1p/production/64845befec4c1deaffc6207521e99246fb71edef-1200x630.png","831ab261-12d5-4714-89b7-6b565a0b8e28","2025-09-04T05:24:00.000Z","ai-productivity-for-engineering-teams","How to Drive AI Productivity and Value for Engineering Teams",{"_286":2715,"_296":3409,"_122":3410,"_299":3411,"_301":3412,"_303":3413,"_25":3414,"_306":2112},[2716,2746,2749,2757,2768,2779,2790,2801,2804,2812,2830,2838,2842,2859,2867,2875,2902,2921,2944,2952,2968,2976,3000,3008,3024,3053,3084,3092,3124,3148,3156,3164,3172,3180,3188,3196,3204,3220,3246,3254,3262,3270,3278,3286,3305,3321,3329,3345,3349,3367,3375,3393],{"_30":2717,"_16":267,"_268":2718,"_276":2741,"_278":279},"4a3ccc6e0b02",[2719,2723,2728,2732,2737],{"_30":2720,"_16":272,"_273":2721,"_146":2722},"50af355933eb",[],"As AI becomes more of a reality in software development, teams are experimenting with a variety of use cases, including documentation and technical writing. In this article, veteran technical writer (and co-author of ",{"_30":2724,"_16":272,"_273":2725,"_146":2727},"2a561750dd51",[2726,438],"1f6b823e0e55","Docs for Developers: An Engineer’s Field Guide to Technical Writing",{"_30":2729,"_16":272,"_273":2730,"_146":2731},"fa5267ed1611",[],") ",{"_30":2733,"_16":272,"_273":2734,"_146":2736},"3ce6f0076da4",[2735],"d75e2d3d5574","Heidi Waterhouse",{"_30":2738,"_16":272,"_273":2739,"_146":2740},"b898656ddc5a",[]," discusses some of the biggest mistakes teams make using AI for docs, as well as the best opportunities to use AI productively to support user journeys.",[2742,2744],{"_30":2726,"_16":42,"_390":2743},"https://www.oreilly.com/library/view/docs-for-developers/9781484272176/",{"_30":2735,"_16":42,"_390":2745},"https://www.linkedin.com/in/heidiwaterhouse/",{"_30":2747,"_16":122,"_111":2748},"477cb546ed1b",{"_113":503,"_16":115},{"_30":2750,"_16":267,"_268":2751,"_276":2756,"_278":279},"01d336e93aa4",[2752],{"_30":2753,"_16":272,"_273":2754,"_146":2755},"da16f6fc20c9",[438],"More Articles on How Documentation and Software Dev Are Evolving:",[],{"_30":2758,"_16":267,"_268":2759,"_521":522,"_523":524,"_276":2765,"_278":279},"d88cc0b8b563",[2760],{"_30":2761,"_16":272,"_273":2762,"_146":2764},"49f9e16ceba8",[2763],"a8aafb07e661","Article: Who Owns the Documentation and Why It Should Be the Robots",[2766],{"_30":2763,"_16":42,"_390":2767},"https://www.heavybit.com/library/article/who-owns-the-documentation-and-why-it-should-be-the-robots",{"_30":2769,"_16":267,"_268":2770,"_521":522,"_523":524,"_276":2776,"_278":279},"7c905d126058",[2771],{"_30":2772,"_16":272,"_273":2773,"_146":2775},"d160fc2af3ad",[2774],"5f3984a9440a","Podcast: Documentation Deep Dive with Megan Sullivan of Gatsby",[2777],{"_30":2774,"_16":42,"_390":2778},"https://www.heavybit.com/library/podcasts/jamstack-radio/ep-72-documentation-deep-dive-with-megan-sullivan-of-gatsby",{"_30":2780,"_16":267,"_268":2781,"_521":522,"_523":524,"_276":2787,"_278":279},"0445a011f1ea",[2782],{"_30":2783,"_16":272,"_273":2784,"_146":2786},"6cd54a27c3f0",[2785],"18bdfcac1850","Video: Building Great API Docs",[2788],{"_30":2785,"_16":42,"_390":2789},"https://www.heavybit.com/library/video/building-great-api-docs",{"_30":2791,"_16":267,"_268":2792,"_521":522,"_523":524,"_276":2798,"_278":279},"1f28c510ae73",[2793],{"_30":2794,"_16":272,"_273":2795,"_146":2797},"3d69fe2f2d3c",[2796],"d1a13de0db2c","Video: How Great Documentation Drives Developer Adoption",[2799],{"_30":2796,"_16":42,"_390":2800},"https://www.heavybit.com/library/video/how-great-documentation-drives-developer-adoption",{"_30":2802,"_16":122,"_111":2803},"e60010441415",{"_113":503,"_16":115},{"_30":2805,"_16":267,"_268":2806,"_276":2811,"_278":353},"7f164fc1bfaf",[2807],{"_30":2808,"_16":272,"_273":2809,"_146":2810},"650778ce26f1",[],"AI as an Assistant, not a Solution",[],{"_30":2813,"_16":267,"_268":2814,"_276":2827,"_278":279},"843e9d33c4ec",[2815,2819,2823],{"_30":2816,"_16":272,"_273":2817,"_146":2818},"afdf910f0891",[],"Waterhouse elaborates on her recent session from the ",{"_30":2820,"_16":272,"_273":2821,"_146":2150},"8cc715084bec",[2822],"5148e717c058",{"_30":2824,"_16":272,"_273":2825,"_146":2826},"2fbedd1eef1f",[]," conference, at which she spoke on a similar topic. “The focus of my talk was discussing things we know AI can do well, and how to make that fit with our understanding of what people need from documentation.”",[2828],{"_30":2822,"_16":42,"_390":2829},"https://leaddev.com/technical-direction/documentation-and-ai-how-to-write-right-now",{"_30":2831,"_16":267,"_268":2832,"_276":2837,"_278":279},"e892cd8ba5ca",[2833],{"_30":2834,"_16":272,"_273":2835,"_146":2836},"be321766a4cb",[],"The author suggests that the key to getting value out of large language models (LLMs) today is thinking about AI “as an assistant, and not a solution. Because thinking about it as a solution is what leads us down some unfortunate paths that are really hard to dig ourselves out of.”",[],{"_30":2839,"_16":122,"_111":2840},"ec283b1972ae",{"_113":2841,"_16":115},"image-c05b350e923e3a160a092e5d09583b1ae2fc4a29-1200x675-jpg",{"_30":2843,"_16":267,"_268":2844,"_276":2857,"_278":279},"311937c0e261",[2845,2849,2853],{"_30":2846,"_16":272,"_273":2847,"_146":2848},"03f24312b420",[438],"Heidi Waterhouse discusses AI in documentation at LeadDev. Image courtesy ",{"_30":2850,"_16":272,"_273":2851,"_146":2150},"26f5c63ef375",[2852,438],"5dd2636cd8e7",{"_30":2854,"_16":272,"_273":2855,"_146":2856},"71411bc4fe97",[438],".",[2858],{"_30":2852,"_16":42,"_390":2829},{"_30":2860,"_16":267,"_268":2861,"_276":2866,"_278":353},"8eaadeefbd22",[2862],{"_30":2863,"_16":272,"_273":2864,"_146":2865},"0643f9a25ded",[],"Are LLMs the Best Tool for Software Docs and Technical Writing?",[],{"_30":2868,"_16":267,"_268":2869,"_276":2874,"_278":512},"387e0f972cd4",[2870],{"_30":2871,"_16":272,"_273":2872,"_146":2873},"fe6ce8cb3294",[],"Freshness: Using RAG to Ensure Docs Stay Up-to-Date Instead",[],{"_30":2876,"_16":267,"_268":2877,"_276":2899,"_278":279},"a057742a9e19",[2878,2882,2887,2891,2895],{"_30":2879,"_16":272,"_273":2880,"_146":2881},"c95dc890564f",[],"Aside from hiring a good writer a year or so before launching a product to document it properly, Waterhouse suggests that product teams identify what can and can’t be easily documented, such as standardized ",{"_30":2883,"_16":272,"_273":2884,"_146":2886},"4f85c0f18a06",[2885],"51d366865ec1","OpenAPI",{"_30":2888,"_16":272,"_273":2889,"_146":2890},"752ba0071a4d",[]," documentation. “There's not a lot of distinction between writing a good test case and writing a good prompt. The things you do to test are the things that you need to document: ",{"_30":2892,"_16":272,"_273":2893,"_146":2894},"bcb099607988",[438],"How do I do this thing?",{"_30":2896,"_16":272,"_273":2897,"_146":2898},"1e3f1caf20a5",[]," And so we go into test cases and extract user stories from those, because we know that those work.”",[2900],{"_30":2885,"_16":42,"_390":2901},"https://www.openapis.org/what-is-openapi",{"_30":2903,"_16":267,"_268":2904,"_276":2918,"_278":279},"632bf8098288",[2905,2909,2914],{"_30":2906,"_16":272,"_273":2907,"_146":2908},"33016087df4c",[],"The author points out that alternatives like ",{"_30":2910,"_16":272,"_273":2911,"_146":2913},"8c7f680b902a",[2912],"e4c22daf3f46","retrieval-augmented generation (RAG)",{"_30":2915,"_16":272,"_273":2916,"_146":2917},"159dd2beb7ae",[]," may be better suited to maintain docs freshness than using a LLM as a catch-all solution, even if it was trained on a large dataset. “Although we get better answers from very large [data] corpuses, I think it is dangerous because for nearly every LLM out there...their training corpus is at least a year old, and we don’t know exactly what it contains.”",[2919],{"_30":2912,"_16":42,"_390":2920},"https://en.wikipedia.org/wiki/Retrieval-augmented_generation",{"_30":2922,"_16":267,"_268":2923,"_276":2943,"_278":279},"2b4ab2c43456",[2924,2928,2932,2936,2939],{"_30":2925,"_16":272,"_273":2926,"_146":2927},"f8712eb98b17",[],"“So if you have made software [changes] in that time, the LLM doesn't know about it and it's not retrieving fresh data. So I think you should have a small, specific, internal [focus to] look at all ",{"_30":2929,"_16":272,"_273":2930,"_146":2931},"eda2ea7b5fab",[438],"this",{"_30":2933,"_16":272,"_273":2934,"_146":2935},"e2f25d68ceae",[]," stuff and use ",{"_30":2937,"_16":272,"_273":2938,"_146":2393},"cd82c4cea259",[438],{"_30":2940,"_16":272,"_273":2941,"_146":2942},"228911e19f6a",[]," as your context window, instead of a giant context window. That makes it both cheaper to run and more relevant.”",[],{"_30":2945,"_16":267,"_268":2946,"_276":2951,"_278":512},"2d5c67f21878",[2947],{"_30":2948,"_16":272,"_273":2949,"_146":2950},"98387814003a",[],"Indexing and Librarians: Better Docs Through Better Organization of Info?",[],{"_30":2953,"_16":267,"_268":2954,"_276":2967,"_278":279},"f26f1409f052",[2955,2959,2963],{"_30":2956,"_16":272,"_273":2957,"_146":2958},"8b000df2081b",[],"The author notes that for documentation, the real use case that most users want isn’t longer, prettier notes to read, but the ability to ask a specific question in natural language and receive a contextually correct, helpful answer. “That's the ‘killer app.’ That requires some indexing. I haven't built this yet myself, because nobody has paid me to do it. But being able to ask any question and get an authentic answer: ",{"_30":2960,"_16":272,"_273":2961,"_146":2962},"0d3825a99a41",[438],"That’s",{"_30":2964,"_16":272,"_273":2965,"_146":2966},"3474bd2e195d",[]," what you want.”",[],{"_30":2969,"_16":267,"_268":2970,"_276":2975,"_278":279},"8755ffb07e63",[2971],{"_30":2972,"_16":272,"_273":2973,"_146":2974},"6f17fbd0861a",[],"To get to such a state requires proper indexing of product information, so that your system can return a specific, accurate response. In other words, a highly deterministic result that’s at odds with GenAI’s inherently non-deterministic nature. “For example, if a person asks about installation, here's the set of documents they want, and you’d refine it with the set of documents you’d return. So you’d need a natural-language sorting on pre-indexed stuff.”",[],{"_30":2977,"_16":267,"_268":2978,"_276":2999,"_278":279},"2e2b0316c6ba",[2979,2983,2987,2991,2995],{"_30":2980,"_16":272,"_273":2981,"_146":2982},"1e272d57fef2",[],"“But that means that you have to pay someone to do the indexing with computer assistance. Indexing a whole set of things is difficult, but you can't just leave it to machines because machines don't understand anything. ",{"_30":2984,"_16":272,"_273":2985,"_146":2986},"1c9b4110a8b4",[438],"They do not ‘understand’",{"_30":2988,"_16":272,"_273":2989,"_146":2990},"c8d9bf9389b5",[]," as they are not capable of ‘understanding’ as a concept. So I think that there's going to be an uptick in the need for ",{"_30":2992,"_16":272,"_273":2993,"_146":2994},"1ffdee21044a",[438],"librarians",{"_30":2996,"_16":272,"_273":2997,"_146":2998},"c62130ca2ab3",[],": People who understand semantic information and semantic relationships.”",[],{"_30":3001,"_16":267,"_268":3002,"_276":3007,"_278":353},"56d9657f96d1",[3003],{"_30":3004,"_16":272,"_273":3005,"_146":3006},"64253605e0e3",[],"The State of Docs vs. What Has Been Lost to Time",[],{"_30":3009,"_16":267,"_268":3010,"_276":3023,"_278":279},"bf4a0690e218",[3011,3015,3019],{"_30":3012,"_16":272,"_273":3013,"_146":3014},"4ff89e358c46",[],"The author points out that the status quo of documentation isn’t reams of static docs that someone wrote years ago and no one has looked at since. “It hasn’t been like that for 15 years! But one of the interesting problems is that we've democratized technical writing and made it all markdown files, which means ",{"_30":3016,"_16":272,"_273":3017,"_146":3018},"9b740be808a6",[438],"we've taken the expertise out of it.",{"_30":3020,"_16":272,"_273":3021,"_146":3022},"09fb4283ef62",[],"”",[],{"_30":3025,"_16":267,"_268":3026,"_276":3048,"_278":279},"7c84fdb213bf",[3027,3031,3036,3039,3044],{"_30":3028,"_16":272,"_273":3029,"_146":3030},"c34a76a71b5b",[],"“I think back to the priesthood of ",{"_30":3032,"_16":272,"_273":3033,"_146":3035},"46dc06bc1392",[3034],"d2fdd7aa4bae","Framemaker",{"_30":3037,"_16":272,"_273":3038,"_146":2208},"79958f4e9183",[],{"_30":3040,"_16":272,"_273":3041,"_146":3043},"f56438e4f2f6",[3042],"38d0df6c95a1","RoboHelp",{"_30":3045,"_16":272,"_273":3046,"_146":3047},"165dc38160c1",[],", and other things we used to have. Extremely specific, context-sensitive help, where every page you were on in an application had an identifier, and if you clicked the little ‘help’ button, you would get help specific to that page. It would know where you were. There's no reason we can't have that with web applications. But nobody has been doing it. And I think just returning to something like that would be immensely useful.”",[3049,3051],{"_30":3034,"_16":42,"_390":3050},"https://en.wikipedia.org/wiki/Adobe_FrameMaker",{"_30":3042,"_16":42,"_390":3052},"https://en.wikipedia.org/wiki/Adobe_RoboHelp",{"_30":3054,"_16":267,"_268":3055,"_276":3081,"_278":279},"4e24d1c7496c",[3056,3060,3065,3069,3073,3077],{"_30":3057,"_16":272,"_273":3058,"_146":3059},"d281d014ae66",[],"“Today, what we're writing is: Here's how to get started with what you're doing. Here's the ",{"_30":3061,"_16":272,"_273":3062,"_146":3064},"9ac699936fa5",[3063,438],"c2e134fcf395","reference documentation",{"_30":3066,"_16":272,"_273":3067,"_146":3068},"552ef4be7312",[],". There's a whole framework about what a reference doc is and what an instruction doc is and what an example doc is. And all that knowledge is difficult to transmit to founders because it's ",{"_30":3070,"_16":272,"_273":3071,"_146":3072},"a46d8f94200d",[438],"expertise",{"_30":3074,"_16":272,"_273":3075,"_146":3076},"1eabbaf70c04",[],". It's like asking someone: ",{"_30":3078,"_16":272,"_273":3079,"_146":3080},"5dbbe3171d80",[438],"‘Please be an expert in user interfaces.’",[3082],{"_30":3063,"_16":42,"_390":3083},"https://learn.microsoft.com/en-us/style-guide/developer-content/reference-documentation",{"_30":3085,"_16":267,"_268":3086,"_276":3091,"_278":353},"62355c95d0d3",[3087],{"_30":3088,"_16":272,"_273":3089,"_146":3090},"c3a2fe19c3d9",[],"A Gentle Reminder: Docs Aren’t for Happy People",[],{"_30":3093,"_16":267,"_268":3094,"_276":3123,"_278":279},"bb2fd930e4e1",[3095,3099,3103,3107,3111,3115,3119],{"_30":3096,"_16":272,"_273":3097,"_146":3098},"aa12de6d8e9b",[],"“I think that what we need to be doing is not just writing ",{"_30":3100,"_16":272,"_273":3101,"_146":3102},"67d4c7b18156",[438],"more",{"_30":3104,"_16":272,"_273":3105,"_146":3106},"1c94f1b57024",[]," documentation, which doesn't actually help people. I think what we need to be doing is ",{"_30":3108,"_16":272,"_273":3109,"_146":3110},"ef637e5c40e2",[438],"making it easier to find answers",{"_30":3112,"_16":272,"_273":3113,"_146":3114},"f9e1a8dde5dd",[]," to a problem that you're having. This is always the goal of documentation. Because I always say that anyone reading documentation ",{"_30":3116,"_16":272,"_273":3117,"_146":3118},"7a717cf0a5a2",[438],"is already pissed off",{"_30":3120,"_16":272,"_273":3121,"_146":3122},"833d1cf90092",[],".”",[],{"_30":3125,"_16":267,"_268":3126,"_276":3147,"_278":279},"3947c9c0be6b",[3127,3131,3135,3139,3143],{"_30":3128,"_16":272,"_273":3129,"_146":3130},"55db9fbe8feb",[],"The author clarifies that people reading documentation ",{"_30":3132,"_16":272,"_273":3133,"_146":3134},"86cebac7bdc7",[438],"don’t want to read documentation",{"_30":3136,"_16":272,"_273":3137,"_146":3138},"cfae719ef91d",[],". They want to already be completing their tasks. “We need to do as much as we can so people ",{"_30":3140,"_16":272,"_273":3141,"_146":3142},"ad6d26a47655",[438],"don't have to read documentation",{"_30":3144,"_16":272,"_273":3145,"_146":3146},"4ce624bf222f",[],". What if machines could read documentation and answer questions. That'd be great! But we need to design better software.”",[],{"_30":3149,"_16":267,"_268":3150,"_276":3155,"_278":279},"6de1e3937293",[3151],{"_30":3152,"_16":272,"_273":3153,"_146":3154},"83269819f243",[],"In an ideal world, with better software, users wouldn’t need to fight a 20-page config guide to get it to work. “I tell my clients: ‘Have you made a Docker container for [your product]? Could you just give people a runtime environment that works for them so that they don't have to configure it?’”",[],{"_30":3157,"_16":267,"_268":3158,"_276":3163,"_278":279},"c397b4f562d5",[3159],{"_30":3160,"_16":272,"_273":3161,"_146":3162},"f9f9494f8182",[],"“I think we're moving in that direction a lot for the things that we used to use documentation for. But in order to do that, you still have to know how things work.”",[],{"_30":3165,"_16":267,"_268":3166,"_276":3171,"_278":2470},"86a216334632",[3167],{"_30":3168,"_16":272,"_273":3169,"_146":3170},"478bb6d780a5",[438],"What we need to be doing is making it easier to find answers to a problem that you're having. Anyone reading documentation is already pissed off.",[],{"_30":3173,"_16":267,"_268":3174,"_276":3179,"_278":353},"71dd80524e93",[3175],{"_30":3176,"_16":272,"_273":3177,"_146":3178},"29e520a25db0",[],"Are Smaller Models the Key to Better Docs?",[],{"_30":3181,"_16":267,"_268":3182,"_276":3187,"_278":279},"a0cd24558dc4",[3183],{"_30":3184,"_16":272,"_273":3185,"_146":3186},"724f410b037c",[],"Waterhouse notes that while GenAI is exhibiting potential for summarization use cases, and might be theoretically useful to gobble up reams of documentation and spit out answers, the solution isn’t quite that simple. “The thing that gobbles up data also has its own biases. It doesn't have a good semantic understanding of exactly what you're doing.”",[],{"_30":3189,"_16":267,"_268":3190,"_276":3195,"_278":279},"e5c06c8acfc6",[3191],{"_30":3192,"_16":272,"_273":3193,"_146":3194},"ace851eb267b",[],"The author suggests that an alternative might be smaller, lighter-weight models and retrieval tools trained on a highly-specific, frequently-updated dataset from which it answers questions. “But it's much clearer to think of it as a chat-based interface for an index rather than thinking of it as an answer machine.”",[],{"_30":3197,"_16":267,"_268":3198,"_276":3203,"_278":353},"f3177be1c521",[3199],{"_30":3200,"_16":272,"_273":3201,"_146":3202},"3063b3f40a09",[],"Weaponizing Skepticism",[],{"_30":3205,"_16":267,"_268":3206,"_276":3219,"_278":279},"7efb924aec0f",[3207,3211,3215],{"_30":3208,"_16":272,"_273":3209,"_146":3210},"66d674d2ed22",[],"The author notes the problem of software documentation seeming to have all the answers...put into the hands of LLMs that still confidently give ",{"_30":3212,"_16":272,"_273":3213,"_146":3214},"5fcf8ff83f2c",[438],"wrong",{"_30":3216,"_16":272,"_273":3217,"_146":3218},"bd300efe9070",[]," answers. “Recently, there was a thread online where someone recommended feeding some Perl string into an LLM to ‘see what it parses as.’ It turns out the string parsed as a UNIX command to wipe your hard drive.”",[],{"_30":3221,"_16":267,"_268":3222,"_276":3243,"_278":279},"570b27432821",[3223,3227,3231,3235,3240],{"_30":3224,"_16":272,"_273":3225,"_146":3226},"f053624b212a",[],"“Now, that was obfuscated. And a human who has been on the Internet for a while knows not to run random unchecked strings. But [AI] doesn’t know that. It doesn't have any sense of danger. And I honestly think that we are going to have to ",{"_30":3228,"_16":272,"_273":3229,"_146":3230},"ff1e6ce171a8",[438],"code in",{"_30":3232,"_16":272,"_273":3233,"_146":3234},"808cee9768d2",[]," a sense of danger. For example, how a prominent startup founder’s vibe-coding tool accidentally ",{"_30":3236,"_16":272,"_273":3237,"_146":3239},"3560c7cdd1a5",[3238],"ff4c8e75f31f","wiped their production database",{"_30":3241,"_16":272,"_273":3242,"_146":3122},"c6e792576ee7",[],[3244],{"_30":3238,"_16":42,"_390":3245},"https://fortune.com/2025/07/23/ai-coding-tool-replit-wiped-database-called-it-a-catastrophic-failure/",{"_30":3247,"_16":267,"_268":3248,"_276":3253,"_278":279},"8ac1778bad56",[3249],{"_30":3250,"_16":272,"_273":3251,"_146":3252},"4c1f15b1b821",[],"“I think what we need to build into our tools is a sense of skepticism. (We can call it ‘testing,’ but testing is just weaponized skepticism.) We need to teach AI tools a sense of danger and a sense of skepticism before we let them loose in production.”",[],{"_30":3255,"_16":267,"_268":3256,"_276":3261,"_278":279},"8c235fc46113",[3257],{"_30":3258,"_16":272,"_273":3259,"_146":3260},"62fefd3c38e2",[],"“Separately, we need to think about how AI will consume what we write in a different way than a human being might. How do we design documentation not just to be consumed by humans, but to be consumed by machine learning [algorithms]?” the author muses. “Honestly, the OpenAPI project seems like the start of that: This is a semantically sound, well-formatted thing that you can consume whether or not you're a machine. It’s predictable and you can count on it to have the same structure so that it's not going to give you weird answers.”",[],{"_30":3263,"_16":267,"_268":3264,"_276":3269,"_278":279},"116e4281a02a",[3265],{"_30":3266,"_16":272,"_273":3267,"_146":3268},"001c4aa79ba8",[],"“Making our documentation accessible to machines is going to be valuable, because then we can use machines to ask [the documentation itself] questions.",[],{"_30":3271,"_16":267,"_268":3272,"_276":3277,"_278":353},"ee73bbdf42a1",[3273],{"_30":3274,"_16":272,"_273":3275,"_146":3276},"4ce560cf1861",[],"Making Builders Future-Proof in an AI Future",[],{"_30":3279,"_16":267,"_268":3280,"_276":3285,"_278":279},"ae1bb7d436bb",[3281],{"_30":3282,"_16":272,"_273":3283,"_146":3284},"3acabfbe8ddf",[],"Waterhouse also considers the impact of AI on engineering teams, including for junior developers. “Every time we make an advance in technology, we feel like we're going to lose those skills, and it turns out that somebody cares about preserving them. Also, even mechanization doesn't reduce the amount of work that needs to happen.”",[],{"_30":3287,"_16":267,"_268":3288,"_276":3302,"_278":279},"1240c8ff52c6",[3289,3293,3298],{"_30":3290,"_16":272,"_273":3291,"_146":3292},"52ef98d47b28",[],"The author cites ",{"_30":3294,"_16":272,"_273":3295,"_146":3297},"b6ec122caf91",[3296,438],"2efc9997f119","More Work for Mother",{"_30":3299,"_16":272,"_273":3300,"_146":3301},"29e68a15f109",[]," by Ruth Schwartz Cowan, a book about how laundry used to be an infrequent, time-consuming chore that required hiring washerwomen servants. After the advent of the washing machine, the position of washerwoman vanished from society, but because washing machines made doing laundry more accessible, families would do laundry more frequently, causing housewives to eventually invest the same number of hours per year doing laundry as they did previously.",[3303],{"_30":3296,"_16":42,"_390":3304},"https://hss.sas.upenn.edu/content/more-work-mother-ironies-household-technology-open-hearth-microwave",{"_30":3306,"_16":267,"_268":3307,"_276":3320,"_278":279},"9ff79b8c9fa2",[3308,3312,3316],{"_30":3309,"_16":272,"_273":3310,"_146":3311},"00cb0d99b24a",[],"“We're going to have junior testers who can run exponentially more tests, but somebody still has to ",{"_30":3313,"_16":272,"_273":3314,"_146":3315},"9749ea1359ca",[438],"write",{"_30":3317,"_16":272,"_273":3318,"_146":3319},"0773b9d1c319",[]," them. Those skills will be sustained, but they're not going to be ‘a whole job.’ The problem is somebody has to understand the fundamentals.”",[],{"_30":3322,"_16":267,"_268":3323,"_276":3328,"_278":279},"27888d340ed0",[3324],{"_30":3325,"_16":272,"_273":3326,"_146":3327},"4de966a87265",[],"“We watched this happen with the abstraction of languages up the stack. There are not a lot of people coding in C anymore because our abstraction layer above C is good enough. But there's a reason people are still using COBOL. It's because everything but COBOL has floating point errors for extreme edge cases of math that actually matter quite a lot. So we still need to have at least a few experts from somewhere who care about the deep internals.”",[],{"_30":3330,"_16":267,"_268":3331,"_276":3344,"_278":279},"2c2818bede39",[3332,3336,3340],{"_30":3333,"_16":272,"_273":3334,"_146":3335},"f218e4e6851b",[],"The author notes that older programming experts are retiring, leaving a vacuum for experts on computing fundamentals. “For a lot of these really sophisticated abstractions that LLMs rely on, we need someone who understands how to program the thing",{"_30":3337,"_16":272,"_273":3338,"_146":3339},"661081550a9f",[438]," that programs the thing",{"_30":3341,"_16":272,"_273":3342,"_146":3343},"3647325ef424",[]," that makes the chips.” The current state of play in AI is marked by inflated expectations and budgets, but hopefully, market forces will iron out the issues.",[],{"_30":3346,"_16":122,"_111":3347},"a25da1bae406",{"_113":3348,"_16":115},"image-76eca1fb8989a4b23ea771a6fe7df42544f23d54-385x489-png",{"_30":3350,"_16":267,"_268":3351,"_276":3364,"_278":279},"63ebf93fefe8",[3352,3356,3361],{"_30":3353,"_16":272,"_273":3354,"_146":3355},"8ba6fcf4d6ef",[438],"Without experts in the fundamentals, software will have increasingly precarious dependencies. Image courtesy ",{"_30":3357,"_16":272,"_273":3358,"_146":3360},"fa5a87958d01",[3359,438],"2e5e13988414","XKCD",{"_30":3362,"_16":272,"_273":3363,"_146":2856},"e12172b35539",[438],[3365],{"_30":3359,"_16":42,"_390":3366},"https://xkcd.com/2347/",{"_30":3368,"_16":267,"_268":3369,"_276":3374,"_278":353},"491f84300d63",[3370],{"_30":3371,"_16":272,"_273":3372,"_146":3373},"b6f78677a708",[],"What Will Never Change: Who and What Docs Are For",[],{"_30":3376,"_16":267,"_268":3377,"_276":3390,"_278":279},"bf299bca401b",[3378,3381,3386],{"_30":3379,"_16":272,"_273":3380,"_146":3292},"e25741bc0804",[],{"_30":3382,"_16":272,"_273":3383,"_146":3385},"5f75260ec026",[3384,438],"6601d8a80d0a","Making Users Awesome",{"_30":3387,"_16":272,"_273":3388,"_146":3389},"e0dcd1b4f63d",[]," by Kathy Sierra’s fundamental point about software: No one uses it because they ‘love using software.’ “People use software because they’re trying to accomplish a task or get something done.”",[3391],{"_30":3384,"_16":42,"_390":3392},"https://www.oreilly.com/library/view/badass-making-users/9781491919057/",{"_30":3394,"_16":267,"_268":3395,"_276":3408,"_278":279},"5e5ab1180ce9",[3396,3400,3404],{"_30":3397,"_16":272,"_273":3398,"_146":3399},"dcc1ffdab42f",[],"“And when we're writing documentation, every piece of documentation that somebody has to read ",{"_30":3401,"_16":272,"_273":3402,"_146":3403},"105ee7f9f43e",[438],"slows them down on the way to getting something done",{"_30":3405,"_16":272,"_273":3406,"_146":3407},"00126c3c43f0",[],". It may speed them up in the long run, they may understand something better, but on the whole we are diverting them from their task.”",[],13,"https://cdn.sanity.io/images/50q6fr1p/production/47f933319f9e2a3ca8db58e8b18ff02be37f700d-1200x630.png","5a4e7241-65b4-4ede-8b19-efe37601f59f","2025-08-28T16:24:00.000Z","software-documentation-in-the-age-of-ai","The Future of Software Documentation in the Age of AI","modules","moreFromLibrary",[3418,3420,3422],{"_30":3419,"_113":300,"_16":115},"OigT6qNeKJ8w",{"_30":3421,"_113":320,"_16":115},"OKOHfCczJGeR",{"_30":3423,"_113":337,"_16":115},"wvc18hITPOG2","outlines",[3426],{"_30":3427,"_16":267,"_268":3428,"_276":3433,"_278":279},"fc512d144873",[3429],{"_30":3430,"_16":272,"_273":3431,"_146":3432},"d5700e70215f",[],"

Sourcegraph's Quinn Slack on Founder Folklore\n
- The Evolution of Coding AI/Agents
- Building for the Right Customers
- A Tale of 3 Top-10 Companies
- Awareness Starts with Smart, Early Adopters
- The Only Thing That Matters is Fast Growth in a Big Market
- Keep Coding
- The Next 3 Months in Coding
\n

",[],"posterFrame",{"_16":122,"_111":3436},{"_113":3437,"_16":115},"image-dc9536fa7c55f3a8228221f366425efeb358e22e-1280x720-png","seo",{"_16":3438,"_21":3440,"_3441":170,"_3442":170,"_3443":275,"_120":3435},"Sourcegraph CEO Quinn Slack argues that in the AI era, founders must abandon outdated playbooks and stay hands-on with product to survive constant change.","nofollow","noindex","OGdescription","slideDeck",{"_16":303,"_3446":3447},"current","sourcegraph-s-quinn-slack-on-founder-folklore","speakers","speakersWithOrg",[3451],{"_30":3452,"_16":3453,"_3454":-5,"_3455":3456},"a49abf0f2d34","speaker","organization","person",{"_11":3457,"_13":3458,"_14":3459,"_127":3460,"_16":3455,"_17":3463,"_3464":170,"_3465":3466,"_3454":3467,"_3474":3475,"_3478":3479,"_3480":3481,"_3482":170},"2022-09-16T03:03:45Z","Bcn0wpgqEhvcIGb46XDJ9q","nD1jnN7RYetVQgIST2fOWs",{"_129":3461},{"_131":3458,"_132":3462},"hF521FaV4183bkbvozgw4e","2025-08-13T22:20:15Z","generate","name","Quinn Slack",{"_11":3468,"_13":3469,"_14":3470,"_16":3454,"_17":3471,"_3464":170,"_3465":3472,"_3473":170},"2022-09-16T02:47:16Z","Bcn0wpgqEhvcIGb46XAgsg","YlxgmKTLxstUdop23VNivl","2022-09-16T23:13:13Z","Sourcegraph","portfolioCompany","photo",{"_16":110,"_111":3476},{"_113":3477,"_16":115},"image-bf747b7e73205f27b704fb891c73ee7d11929e3f-880x620-png","position","Cofounder & CEO","socials",[],"teamMember","startDate","tags",[3486,3495,3503,3510,3516],{"_11":3487,"_13":3488,"_14":3489,"_16":3490,"_17":3487,"_21":3491,"_3465":3492,"_303":3493},"2024-09-05T17:31:35Z","017fa9be-32e2-46ee-bddf-f13275fbdf00","aeN0todGvIjkWyTywFzV6F","tag","Pertaining to the technology underpinning AI and machine learning operations.","AI Infrastructure",{"_16":303,"_3446":3494},"ai-infrastructure",{"_11":3496,"_13":3497,"_14":3498,"_16":3490,"_17":3496,"_21":3499,"_3465":3500,"_303":3501},"2023-07-17T23:23:49Z","eec559a9-10e7-4405-82e4-e0736495ec36","TfMkf5gVJ7UWv1vMi5Qxor","Artificial intelligence, including AI-powered coding assistants built on large language models.","AI",{"_16":303,"_3446":3502},"ai",{"_11":3504,"_13":3505,"_14":3506,"_16":3490,"_17":3504,"_21":449,"_3465":3507,"_303":3508},"2022-09-09T00:13:51Z","kFpYkfzWCiYI8xC60oUh0y","TYN2nJHhdg1RiOg5ta1HWG","Enterprise Software",{"_16":303,"_3446":3509},"enterprise-software",{"_11":3511,"_13":3512,"_14":3506,"_16":3490,"_17":3511,"_21":449,"_3465":3513,"_303":3514},"2022-09-09T00:17:18Z","kFpYkfzWCiYI8xC60oVUHK","Software as a Service (SaaS)",{"_16":303,"_3446":3515},"software-as-a-service-(saas)",{"_11":3517,"_13":3518,"_14":3519,"_16":3490,"_17":3520,"_21":3521,"_3465":3522,"_303":3523},"2021-09-21T20:59:30Z","tag-54","TfMkf5gVJ7UWv1vMi5R04L","2022-09-09T00:12:03Z","Learn the strategies and tactics to take your developer product to market.","Product",{"_16":303,"_3446":3524},"product","Sourcegraph's Quinn Slack on Founder Folklore","transcript",[3528,3572,3622,3672,3741,3781,3822,3882,3922,3972,4013,4053,4112,4143,4192,4232,4302,4309,4316,4324,4331,4381,4411,4451,4481,4521,4570,4610,4681,4711,4761,4810,4851,4882,4942,4949,4957,4964,5014,5054,5094,5134,5174,5214,5245,5315,5345,5394,5454,5484,5525,5555,5586,5626,5633,5641,5648,5678,5727,5788,5808,5888,5938,5988,6038,6068,6075,6083,6090,6141,6181,6231,6272,6302,6352,6420,6427,6435,6442,6449,6509,6549,6580,6620,6701,6771,6811,6842,6892,6932,6972,7012,7061,7068,7076,7083,7104,7154,7214,7244,7285,7325,7386,7455,7524,7564,7595,7602,7610,7617,7697,7737,7778,7809,7869,7909,7939],{"_30":3529,"_16":267,"_268":3530,"_276":3561,"_278":279},"7c60729f195c",[3531,3536,3540,3545,3548,3553,3556],{"_30":3532,"_16":272,"_273":3533,"_146":3535},"23f2c5eb92e4",[3534],"6af08e8","All right, good to be here. We'll have some fun here.",{"_30":3537,"_16":272,"_273":3538,"_146":3539},"9cd4b57cf834",[]," ",{"_30":3541,"_16":272,"_273":3542,"_146":3544},"e7f53b66ed47",[3543],"b85a9e8","They brought me on because I started",{"_30":3546,"_16":272,"_273":3547,"_146":3539},"f1f27dbcfc1b",[],{"_30":3549,"_16":272,"_273":3550,"_146":3552},"efd150ee17dd",[3551],"aeb8523","Sourcegraph in 2013 and it's",{"_30":3554,"_16":272,"_273":3555,"_146":3539},"f3de4870c6f6",[],{"_30":3557,"_16":272,"_273":3558,"_146":3560},"e052d66ea714",[3559],"0c509e7","2025.",[3562,3566,3568,3570],{"_30":3534,"_16":3563,"_3564":3565},"timestamp","time","00:00:01.360",{"_30":3543,"_16":3563,"_3564":3567},"00:00:04.180",{"_30":3551,"_16":3563,"_3564":3569},"00:00:07.040",{"_30":3559,"_16":3563,"_3564":3571},"00:00:09.240",{"_30":3573,"_16":267,"_268":3574,"_276":3612,"_278":279},"aad64f7ae81a",[3575,3580,3583,3588,3591,3596,3599,3604,3607],{"_30":3576,"_16":272,"_273":3577,"_146":3579},"f8329392c3b9",[3578],"d4d2626","I believe I've made all of the mistakes and",{"_30":3581,"_16":272,"_273":3582,"_146":3539},"50e1c8365e4a",[],{"_30":3584,"_16":272,"_273":3585,"_146":3587},"0860e01c610d",[3586],"e8143b5","I've learned from that. So hopefully, you all",{"_30":3589,"_16":272,"_273":3590,"_146":3539},"7aeda1b2e444",[],{"_30":3592,"_16":272,"_273":3593,"_146":3595},"bb077ebf27d0",[3594],"b98beee","don't need to do that.",{"_30":3597,"_16":272,"_273":3598,"_146":3539},"11e2035985a6",[],{"_30":3600,"_16":272,"_273":3601,"_146":3603},"8f8cbfabc2b4",[3602],"674a294","Again, my name is Quinn Slack. I'm CEO and co-founder",{"_30":3605,"_16":272,"_273":3606,"_146":3539},"bcac0fd6063d",[],{"_30":3608,"_16":272,"_273":3609,"_146":3611},"8ef69bd70898",[3610],"0d0194c","at Sourcegraph.",[3613,3614,3616,3618,3620],{"_30":3578,"_16":3563,"_3564":3571},{"_30":3586,"_16":3563,"_3564":3615},"00:00:12.200",{"_30":3594,"_16":3563,"_3564":3617},"00:00:15.120",{"_30":3602,"_16":3563,"_3564":3619},"00:00:16.500",{"_30":3610,"_16":3563,"_3564":3621},"00:00:19.320",{"_30":3623,"_16":267,"_268":3624,"_276":3662,"_278":279},"8749ca25fd0a",[3625,3630,3633,3638,3641,3646,3649,3654,3657],{"_30":3626,"_16":272,"_273":3627,"_146":3629},"758b0cbcbe14",[3628],"919872a","As Joe said, there's a lot of stuff that",{"_30":3631,"_16":272,"_273":3632,"_146":3539},"f88b188f1721",[],{"_30":3634,"_16":272,"_273":3635,"_146":3637},"f1bffa36e54d",[3636],"6826548","people tell you that's just not true, and especially",{"_30":3639,"_16":272,"_273":3640,"_146":3539},"8c0060b48398",[],{"_30":3642,"_16":272,"_273":3643,"_146":3645},"87743b5a68a4",[3644],"e48a28e","now, given that AI is changing so much.",{"_30":3647,"_16":272,"_273":3648,"_146":3539},"5da121ef615c",[],{"_30":3650,"_16":272,"_273":3651,"_146":3653},"8e89a5b43811",[3652],"88098fa","So I'm gonna walk through how this has hit me",{"_30":3655,"_16":272,"_273":3656,"_146":3539},"614f0de32a63",[],{"_30":3658,"_16":272,"_273":3659,"_146":3661},"dc97d45fa858",[3660],"171d9ba","personally as a founder and how I've worked through it.",[3663,3664,3666,3668,3670],{"_30":3628,"_16":3563,"_3564":3621},{"_30":3636,"_16":3563,"_3564":3665},"00:00:22.280",{"_30":3644,"_16":3563,"_3564":3667},"00:00:25.120",{"_30":3652,"_16":3563,"_3564":3669},"00:00:28.330",{"_30":3660,"_16":3563,"_3564":3671},"00:00:31.130",{"_30":3673,"_16":267,"_268":3674,"_276":3728,"_278":279},"490ce5636598",[3675,3680,3683,3688,3691,3696,3699,3704,3707,3712,3715,3720,3723],{"_30":3676,"_16":272,"_273":3677,"_146":3679},"540a310468f4",[3678],"ff89546","A lot",{"_30":3681,"_16":272,"_273":3682,"_146":3539},"e5ab0bc47728",[],{"_30":3684,"_16":272,"_273":3685,"_146":3687},"e54b98027cbc",[3686],"d4f0bcf","of smart people say shit that's not true. How do you deal with",{"_30":3689,"_16":272,"_273":3690,"_146":3539},"450a2664db73",[],{"_30":3692,"_16":272,"_273":3693,"_146":3695},"483cf6aaa642",[3694],"57b5d84","that? How do you get your team to go along with that?",{"_30":3697,"_16":272,"_273":3698,"_146":3539},"62587036230c",[],{"_30":3700,"_16":272,"_273":3701,"_146":3703},"0b1dbeb8fd92",[3702],"385acad","I'm",{"_30":3705,"_16":272,"_273":3706,"_146":3539},"aab9116c9b90",[],{"_30":3708,"_16":272,"_273":3709,"_146":3711},"97cc4c935cde",[3710],"c510106","gonna share a bunch of stuff that I have told our team,",{"_30":3713,"_16":272,"_273":3714,"_146":3539},"ea1261a1aee6",[],{"_30":3716,"_16":272,"_273":3717,"_146":3719},"d5b66c78eeaf",[3718],"3f9ff50","slides that we've used, and if you wanna come up and talk about",{"_30":3721,"_16":272,"_273":3722,"_146":3539},"fe87ad4a1cf2",[],{"_30":3724,"_16":272,"_273":3725,"_146":3727},"c9feda0de1ce",[3726],"a3d99bb","this afterwards, I'dd absolutely love to.",[3729,3730,3732,3734,3735,3737,3739],{"_30":3678,"_16":3563,"_3564":3671},{"_30":3686,"_16":3563,"_3564":3731},"00:00:34.050",{"_30":3694,"_16":3563,"_3564":3733},"00:00:37.050",{"_30":3702,"_16":3563,"_3564":3733},{"_30":3710,"_16":3563,"_3564":3736},"00:00:39.930",{"_30":3718,"_16":3563,"_3564":3738},"00:00:42.650",{"_30":3726,"_16":3563,"_3564":3740},"00:00:45.530",{"_30":3742,"_16":267,"_268":3743,"_276":3773,"_278":279},"ac22289d9b96",[3744,3749,3752,3757,3760,3765,3768],{"_30":3745,"_16":272,"_273":3746,"_146":3748},"a5c7e9a6a995",[3747],"0cf9c99","\"Everything is changing.\" This is something we tell the team all the time.",{"_30":3750,"_16":272,"_273":3751,"_146":3539},"3f049ace7e09",[],{"_30":3753,"_16":272,"_273":3754,"_146":3756},"d07f01a210bd",[3755],"a2d4cb9","Actually, starting maybe nine months ago.",{"_30":3758,"_16":272,"_273":3759,"_146":3539},"ca7bb85ee695",[],{"_30":3761,"_16":272,"_273":3762,"_146":3764},"a1843ebbd685",[3763],"79bdaf4","Before that,",{"_30":3766,"_16":272,"_273":3767,"_146":3539},"a9572c7c4a19",[],{"_30":3769,"_16":272,"_273":3770,"_146":3772},"0418eb36eb50",[3771],"5afc8ef","everything was still changing and we were trying to shield the team from change.",[3774,3776,3778,3779],{"_30":3747,"_16":3563,"_3564":3775},"00:00:48.890",{"_30":3755,"_16":3563,"_3564":3777},"00:00:52.570",{"_30":3763,"_16":3563,"_3564":3777},{"_30":3771,"_16":3563,"_3564":3780},"00:00:56.030",{"_30":3782,"_16":267,"_268":3783,"_276":3813,"_278":279},"c02d8e913d08",[3784,3789,3792,3797,3800,3805,3808],{"_30":3785,"_16":272,"_273":3786,"_146":3788},"9c7305f79428",[3787],"f4cea32","The biggest complaint people had at Sourcegraph was, everything",{"_30":3790,"_16":272,"_273":3791,"_146":3539},"4c8da367e2ad",[],{"_30":3793,"_16":272,"_273":3794,"_146":3796},"bbd7575f594e",[3795],"b2048b3","is constantly changing, the roadmap and so on.",{"_30":3798,"_16":272,"_273":3799,"_146":3539},"b007650f423d",[],{"_30":3801,"_16":272,"_273":3802,"_146":3804},"3c735366585c",[3803],"39940a9","And finally we just embraced it. And what? It is",{"_30":3806,"_16":272,"_273":3807,"_146":3539},"50b61b0e667b",[],{"_30":3809,"_16":272,"_273":3810,"_146":3812},"0acf4004fc7a",[3811],"9200b99","true and it's felt really good to just embrace it.",[3814,3816,3818,3820],{"_30":3787,"_16":3563,"_3564":3815},"00:00:59.550",{"_30":3795,"_16":3563,"_3564":3817},"00:01:02.550",{"_30":3803,"_16":3563,"_3564":3819},"00:01:05.630",{"_30":3811,"_16":3563,"_3564":3821},"00:01:08.470",{"_30":3823,"_16":267,"_268":3824,"_276":3870,"_278":2470},"1f4f07d26a20",[3825,3830,3833,3838,3841,3846,3849,3854,3857,3862,3865],{"_30":3826,"_16":272,"_273":3827,"_146":3829},"966e88c70ab4",[3828],"0f29472","It's not just in Sourcegraph that everything",{"_30":3831,"_16":272,"_273":3832,"_146":3539},"cdf21d1afced",[],{"_30":3834,"_16":272,"_273":3835,"_146":3837},"a8ea51c75bee",[3836],"23c89ca","is changing, it's happening to everyone. All of you",{"_30":3839,"_16":272,"_273":3840,"_146":3539},"e53a817fd0be",[],{"_30":3842,"_16":272,"_273":3843,"_146":3845},"a5354743e203",[3844],"767caf2","are feeling it, our customers are feeling it.",{"_30":3847,"_16":272,"_273":3848,"_146":3539},"a641aaeac1de",[],{"_30":3850,"_16":272,"_273":3851,"_146":3853},"9fed9f79ba9b",[3852],"a5ab32b","Every single",{"_30":3855,"_16":272,"_273":3856,"_146":3539},"77d191634b34",[],{"_30":3858,"_16":272,"_273":3859,"_146":3861},"3c79c783347f",[3860],"bbd13f7","person that we talk to, our customers, they don't know if they're going to",{"_30":3863,"_16":272,"_273":3864,"_146":3539},"3e354a7bb5ee",[],{"_30":3866,"_16":272,"_273":3867,"_146":3869},"cd3a35676301",[3868],"50e908d","have the same job or a job a year from now. And nobody has a moat.",[3871,3873,3875,3877,3878,3880],{"_30":3828,"_16":3563,"_3564":3872},"00:01:11.629",{"_30":3836,"_16":3563,"_3564":3874},"00:01:14.550",{"_30":3844,"_16":3563,"_3564":3876},"00:01:17.430",{"_30":3852,"_16":3563,"_3564":3876},{"_30":3860,"_16":3563,"_3564":3879},"00:01:20.310",{"_30":3868,"_16":3563,"_3564":3881},"00:01:26.190",{"_30":3883,"_16":267,"_268":3884,"_276":3914,"_278":279},"d174ad42e543",[3885,3890,3893,3898,3901,3906,3909],{"_30":3886,"_16":272,"_273":3887,"_146":3889},"9019c7dbcf30",[3888],"887681b","It is",{"_30":3891,"_16":272,"_273":3892,"_146":3539},"81f1ba24d6b3",[],{"_30":3894,"_16":272,"_273":3895,"_146":3897},"ad5de6834546",[3896],"f8370ee","easier than ever before to get",{"_30":3899,"_16":272,"_273":3900,"_146":3539},"e939160279df",[],{"_30":3902,"_16":272,"_273":3903,"_146":3905},"9cefbe3b171f",[3904],"f254904","into a new market or to build a new feature. So",{"_30":3907,"_16":272,"_273":3908,"_146":3539},"6f824c2ee11a",[],{"_30":3910,"_16":272,"_273":3911,"_146":3913},"8eace413d668",[3912],"87bc82c","it's absolutely crazy.",[3915,3916,3918,3920],{"_30":3888,"_16":3563,"_3564":3881},{"_30":3896,"_16":3563,"_3564":3917},"00:01:29.190",{"_30":3904,"_16":3563,"_3564":3919},"00:01:32.070",{"_30":3912,"_16":3563,"_3564":3921},"00:01:34.990",{"_30":3923,"_16":267,"_268":3924,"_276":3962,"_278":279},"abe40bf31707",[3925,3930,3933,3938,3941,3946,3949,3954,3957],{"_30":3926,"_16":272,"_273":3927,"_146":3929},"8d79755c5938",[3928],"713a62c","And just embracing the truth, that",{"_30":3931,"_16":272,"_273":3932,"_146":3539},"38fdf7d0f9d0",[],{"_30":3934,"_16":272,"_273":3935,"_146":3937},"1dbd795a0dd9",[3936],"0e3d127","has been the single most valuable thing that",{"_30":3939,"_16":272,"_273":3940,"_146":3539},"8bb61aefb335",[],{"_30":3942,"_16":272,"_273":3943,"_146":3945},"b35cacef1f26",[3944],"895b310","I've been able to do.",{"_30":3947,"_16":272,"_273":3948,"_146":3539},"dc86453ef8b9",[],{"_30":3950,"_16":272,"_273":3951,"_146":3953},"a23d62f6a0e7",[3952],"7aa2df1","There's some lessons I want to walk through, and these have all",{"_30":3955,"_16":272,"_273":3956,"_146":3539},"a94e7d5189aa",[],{"_30":3958,"_16":272,"_273":3959,"_146":3961},"6b44e6d06f86",[3960],"8ddce36","been learned in blood.",[3963,3964,3966,3968,3970],{"_30":3928,"_16":3563,"_3564":3921},{"_30":3936,"_16":3563,"_3564":3965},"00:01:37.910",{"_30":3944,"_16":3563,"_3564":3967},"00:01:40.830",{"_30":3952,"_16":3563,"_3564":3969},"00:01:43.280",{"_30":3960,"_16":3563,"_3564":3971},"00:01:46.230",{"_30":3973,"_16":267,"_268":3974,"_276":4004,"_278":279},"c49faf7d5efc",[3975,3980,3983,3988,3991,3996,3999],{"_30":3976,"_16":272,"_273":3977,"_146":3979},"c483171fcae7",[3978],"f4cbfb3","Basically every single one of these lessons has",{"_30":3981,"_16":272,"_273":3982,"_146":3539},"7955b80c2823",[],{"_30":3984,"_16":272,"_273":3985,"_146":3987},"ced54c8e5063",[3986],"4adcecd","caused me to waste months of my life",{"_30":3989,"_16":272,"_273":3990,"_146":3539},"86faf36a7db7",[],{"_30":3992,"_16":272,"_273":3993,"_146":3995},"f01275d22b1c",[3994],"5309505","to have to fire three, five people or",{"_30":3997,"_16":272,"_273":3998,"_146":3539},"516cd1694453",[],{"_30":4000,"_16":272,"_273":4001,"_146":4003},"059b46a57ec7",[4002],"ae475fc","have three or five people quit. And it's been really painful.",[4005,4007,4009,4011],{"_30":3978,"_16":3563,"_3564":4006},"00:01:49.070",{"_30":3986,"_16":3563,"_3564":4008},"00:01:52.590",{"_30":3994,"_16":3563,"_3564":4010},"00:01:55.390",{"_30":4002,"_16":3563,"_3564":4012},"00:01:58.310",{"_30":4014,"_16":267,"_268":4015,"_276":4045,"_278":279},"40db41afac5b",[4016,4021,4024,4029,4032,4037,4040],{"_30":4017,"_16":272,"_273":4018,"_146":4020},"ab72bd42028c",[4019],"0b423b7","And I want to give a little background on Sourcegraph because it's relevant to what",{"_30":4022,"_16":272,"_273":4023,"_146":3539},"89f354ccedc9",[],{"_30":4025,"_16":272,"_273":4026,"_146":4028},"255f969f96f8",[4027],"27e43ed","I'm going to be talking about.",{"_30":4030,"_16":272,"_273":4031,"_146":3539},"e71c2ed097ba",[],{"_30":4033,"_16":272,"_273":4034,"_146":4036},"bb82e72d0fa5",[4035],"b552b87","We started Sourcegraph to go and",{"_30":4038,"_16":272,"_273":4039,"_146":3539},"be640d36d913",[],{"_30":4041,"_16":272,"_273":4042,"_146":4044},"fe9b3d0d117d",[4043],"c8a1ece","automate software development.",[4046,4048,4050,4051],{"_30":4019,"_16":3563,"_3564":4047},"00:02:01.470",{"_30":4027,"_16":3563,"_3564":4049},"00:02:04.430",{"_30":4035,"_16":3563,"_3564":4049},{"_30":4043,"_16":3563,"_3564":4052},"00:02:07.390",{"_30":4054,"_16":267,"_268":4055,"_276":4101,"_278":279},"bb95b5022dec",[4056,4061,4064,4069,4072,4077,4080,4085,4088,4093,4096],{"_30":4057,"_16":272,"_273":4058,"_146":4060},"56517d0fa7d2",[4059],"4836e84","This was before AI",{"_30":4062,"_16":272,"_273":4063,"_146":3539},"56f4dd5aacb4",[],{"_30":4065,"_16":272,"_273":4066,"_146":4068},"1d67d2f143b7",[4067],"41706ee","was good enough. So we started with code search, like a Google for all of",{"_30":4070,"_16":272,"_273":4071,"_146":3539},"366a4e563f59",[],{"_30":4073,"_16":272,"_273":4074,"_146":4076},"732e9d817a66",[4075],"3d54319","your enterprise code.",{"_30":4078,"_16":272,"_273":4079,"_146":3539},"15ce2e9e9d0d",[],{"_30":4081,"_16":272,"_273":4082,"_146":4084},"45a96f22999c",[4083],"bfd2c7f","And then when AI started to",{"_30":4086,"_16":272,"_273":4087,"_146":3539},"fd239f91072e",[],{"_30":4089,"_16":272,"_273":4090,"_146":4092},"7d39368e2e7a",[4091],"16f51db","get good, we made this thing, Cody, that was like the",{"_30":4094,"_16":272,"_273":4095,"_146":3539},"d3f525577a1a",[],{"_30":4097,"_16":272,"_273":4098,"_146":4100},"bb8cef994835",[4099],"b192c00","Copilot ++, great for enterprises.",[4102,4103,4105,4107,4108,4110],{"_30":4059,"_16":3563,"_3564":4052},{"_30":4067,"_16":3563,"_3564":4104},"00:02:10.390",{"_30":4075,"_16":3563,"_3564":4106},"00:02:13.350",{"_30":4083,"_16":3563,"_3564":4106},{"_30":4091,"_16":3563,"_3564":4109},"00:02:16.270",{"_30":4099,"_16":3563,"_3564":4111},"00:02:19.130",{"_30":4113,"_16":267,"_268":4114,"_276":4136,"_278":279},"c0a2121cf75d",[4115,4120,4123,4128,4131],{"_30":4116,"_16":272,"_273":4117,"_146":4119},"0fbd21eb9a0a",[4118],"83293f1","And so we've been pretty enterprise focused.",{"_30":4121,"_16":272,"_273":4122,"_146":3539},"36ec54a3fe5f",[],{"_30":4124,"_16":272,"_273":4125,"_146":4127},"2b213a0b2f09",[4126],"89a3e23","We are in the absolute middle of the storm",{"_30":4129,"_16":272,"_273":4130,"_146":3539},"861cd932f7ca",[],{"_30":4132,"_16":272,"_273":4133,"_146":4135},"e9d855ddcafd",[4134],"6d8b6da","with AI and coding agents.",[4137,4139,4141],{"_30":4118,"_16":3563,"_3564":4138},"00:02:22.250",{"_30":4126,"_16":3563,"_3564":4140},"00:02:25.210",{"_30":4134,"_16":3563,"_3564":4142},"00:02:28.170",{"_30":4144,"_16":267,"_268":4145,"_276":4182,"_278":279},"e921acba1b83",[4146,4150,4153,4158,4161,4166,4169,4174,4177],{"_30":4147,"_16":272,"_273":4148,"_146":34},"0cba2cd9d936",[4149],"c30f2db",{"_30":4151,"_16":272,"_273":4152,"_146":3539},"a100afe93c3d",[],{"_30":4154,"_16":272,"_273":4155,"_146":4157},"ccdcc4ea6d7f",[4156],"0b85a2a","67 days ago we came up with something called AMP, that's basically",{"_30":4159,"_16":272,"_273":4160,"_146":3539},"bfeac59da40e",[],{"_30":4162,"_16":272,"_273":4163,"_146":4165},"476ee3071caf",[4164],"d7b024b","us going full joker, full radical, saying, \"Let's break",{"_30":4167,"_16":272,"_273":4168,"_146":3539},"27d8bebf0762",[],{"_30":4170,"_16":272,"_273":4171,"_146":4173},"5528be1fdb9c",[4172],"36dc3f5","all the fucking rules. Let's just build the very best product,",{"_30":4175,"_16":272,"_273":4176,"_146":3539},"f9e2702e59b8",[],{"_30":4178,"_16":272,"_273":4179,"_146":4181},"05b0ad466018",[4180],"c8b2127","expensive and all that.\"",[4183,4184,4186,4188,4190],{"_30":4149,"_16":3563,"_3564":4142},{"_30":4156,"_16":3563,"_3564":4185},"00:02:31.290",{"_30":4164,"_16":3563,"_3564":4187},"00:02:34.130",{"_30":4172,"_16":3563,"_3564":4189},"00:02:37.050",{"_30":4180,"_16":3563,"_3564":4191},"00:02:39.930",{"_30":4193,"_16":267,"_268":4194,"_276":4224,"_278":279},"bf4b0deb4d24",[4195,4200,4203,4208,4211,4216,4219],{"_30":4196,"_16":272,"_273":4197,"_146":4199},"9560dca0d545",[4198],"a790f9e","And it feels",{"_30":4201,"_16":272,"_273":4202,"_146":3539},"d018ec02f848",[],{"_30":4204,"_16":272,"_273":4205,"_146":4207},"074bdfc1825e",[4206],"c0ecd66","pretty good after 13 years to have something",{"_30":4209,"_16":272,"_273":4210,"_146":3539},"34435cad6c24",[],{"_30":4212,"_16":272,"_273":4213,"_146":4215},"b0b6d07fa0f5",[4214],"2edf800","that's growing 50% week over week and really winning",{"_30":4217,"_16":272,"_273":4218,"_146":3539},"2cb3599e3a15",[],{"_30":4220,"_16":272,"_273":4221,"_146":4223},"d0cb9963f62c",[4222],"e828c23","in the market.",[4225,4226,4228,4230],{"_30":4198,"_16":3563,"_3564":4191},{"_30":4206,"_16":3563,"_3564":4227},"00:02:42.930",{"_30":4214,"_16":3563,"_3564":4229},"00:02:45.890",{"_30":4222,"_16":3563,"_3564":4231},"00:02:48.850",{"_30":4233,"_16":267,"_268":4234,"_276":4288,"_278":279},"d4a9d89e394e",[4235,4240,4243,4248,4251,4256,4259,4264,4267,4272,4275,4280,4283],{"_30":4236,"_16":272,"_273":4237,"_146":4239},"ae5120441a43",[4238],"ee0becc","So everything that I'm gonna",{"_30":4241,"_16":272,"_273":4242,"_146":3539},"8c002ca7224a",[],{"_30":4244,"_16":272,"_273":4245,"_146":4247},"b44d874e61d4",[4246],"54cff41","share now is what's gotten me to bring",{"_30":4249,"_16":272,"_273":4250,"_146":3539},"8ec1b4bb31f4",[],{"_30":4252,"_16":272,"_273":4253,"_146":4255},"adac438069fa",[4254],"eca8a27","Sourcegraph from this very enterprise company that has a",{"_30":4257,"_16":272,"_273":4258,"_146":3539},"fa136ec415a2",[],{"_30":4260,"_16":272,"_273":4261,"_146":4263},"32d180f7f976",[4262],"6729a74","ton of amazing customers like the big banks",{"_30":4265,"_16":272,"_273":4266,"_146":3539},"23b068ada155",[],{"_30":4268,"_16":272,"_273":4269,"_146":4271},"bd90c8ef46b0",[4270],"d453db0","and eight of the top 10 tech companies and a ton of users",{"_30":4273,"_16":272,"_273":4274,"_146":3539},"9646b7f1aab8",[],{"_30":4276,"_16":272,"_273":4277,"_146":4279},"f68b71f95bcb",[4278],"f50ddab","to something that is growing very fast as well and is relevant after",{"_30":4281,"_16":272,"_273":4282,"_146":3539},"2e11633b2e88",[],{"_30":4284,"_16":272,"_273":4285,"_146":4287},"01d794dccfc5",[4286],"ca10874","this massive change.",[4289,4290,4292,4294,4296,4298,4300],{"_30":4238,"_16":3563,"_3564":4231},{"_30":4246,"_16":3563,"_3564":4291},"00:02:51.770",{"_30":4254,"_16":3563,"_3564":4293},"00:02:54.690",{"_30":4262,"_16":3563,"_3564":4295},"00:02:57.690",{"_30":4270,"_16":3563,"_3564":4297},"00:03:00.610",{"_30":4278,"_16":3563,"_3564":4299},"00:03:03.450",{"_30":4286,"_16":3563,"_3564":4301},"00:03:06.410",{"_30":4303,"_16":267,"_268":4304,"_276":4308,"_278":279},"5b3504f954f4",[4305],{"_30":4306,"_16":272,"_273":4307,"_146":449},"14d17bd5442d",[],[],{"_30":4310,"_16":267,"_268":4311,"_276":4315,"_278":279},"4af0fdb6226f",[4312],{"_30":4313,"_16":272,"_273":4314,"_146":449},"06833ec8006f",[],[],{"_30":4317,"_16":267,"_268":4318,"_276":4323,"_278":353},"9e5178a31eb0",[4319],{"_30":4320,"_16":272,"_273":4321,"_146":4322},"14df9ffe13f3",[],"The Evolution of Coding AI/Agents",[],{"_30":4325,"_16":267,"_268":4326,"_276":4330,"_278":279},"9803925a3091",[4327],{"_30":4328,"_16":272,"_273":4329,"_146":449},"2753b73f122f",[],[],{"_30":4332,"_16":267,"_268":4333,"_276":4371,"_278":279},"7d970bb2d7e5",[4334,4339,4342,4347,4350,4355,4358,4363,4366],{"_30":4335,"_16":272,"_273":4336,"_146":4338},"241b27b95ebd",[4337],"7c9a768","So first one, just wanna go a little bit more into this: \"Everything is",{"_30":4340,"_16":272,"_273":4341,"_146":3539},"67c6854e0d18",[],{"_30":4343,"_16":272,"_273":4344,"_146":4346},"05ddb9a58b2d",[4345],"ac6b8f8","changing.\"",{"_30":4348,"_16":272,"_273":4349,"_146":3539},"5f39e3c16397",[],{"_30":4351,"_16":272,"_273":4352,"_146":4354},"0fd3bad0c62b",[4353],"316beac","Because this is the most",{"_30":4356,"_16":272,"_273":4357,"_146":3539},"d9f5283e61d6",[],{"_30":4359,"_16":272,"_273":4360,"_146":4362},"859e711f99d2",[4361],"e73ba43","useful phrase that I've ever found in my",{"_30":4364,"_16":272,"_273":4365,"_146":3539},"0206904295b0",[],{"_30":4367,"_16":272,"_273":4368,"_146":4370},"749f145b82c4",[4369],"50e01e6","whole life. Everything is indeed changing.",[4372,4374,4376,4377,4379],{"_30":4337,"_16":3563,"_3564":4373},"00:03:08.010",{"_30":4345,"_16":3563,"_3564":4375},"00:03:10.690",{"_30":4353,"_16":3563,"_3564":4375},{"_30":4361,"_16":3563,"_3564":4378},"00:03:13.290",{"_30":4369,"_16":3563,"_3564":4380},"00:03:16.290",{"_30":4382,"_16":267,"_268":4383,"_276":4405,"_278":279},"5f388c653caa",[4384,4389,4392,4397,4400],{"_30":4385,"_16":272,"_273":4386,"_146":4388},"112bfe7e3d20",[4387],"e9c0297","And for our market,",{"_30":4390,"_16":272,"_273":4391,"_146":3539},"81e886c06df1",[],{"_30":4393,"_16":272,"_273":4394,"_146":4396},"0f4968d34c5f",[4395],"105aca0","one way I share this with a team is just, you",{"_30":4398,"_16":272,"_273":4399,"_146":3539},"b791e6244990",[],{"_30":4401,"_16":272,"_273":4402,"_146":4404},"0de4a28cf169",[4403],"c89613e","look at what's happened in AI coding.",[4406,4407,4409],{"_30":4387,"_16":3563,"_3564":4380},{"_30":4395,"_16":3563,"_3564":4408},"00:03:19.540",{"_30":4403,"_16":3563,"_3564":4410},"00:03:22.460",{"_30":4412,"_16":267,"_268":4413,"_276":4443,"_278":279},"b38a992c681e",[4414,4419,4422,4427,4430,4435,4438],{"_30":4415,"_16":272,"_273":4416,"_146":4418},"2463ca9780b1",[4417],"2f94665","Copilot came",{"_30":4420,"_16":272,"_273":4421,"_146":3539},"9f14e9f0be31",[],{"_30":4423,"_16":272,"_273":4424,"_146":4426},"83cadbc463a2",[4425],"e74fe9b","out. Remember when they were invincible? Remember when Satya said, \"Oh, we",{"_30":4428,"_16":272,"_273":4429,"_146":3539},"25dfc9dd60b3",[],{"_30":4431,"_16":272,"_273":4432,"_146":4434},"5377bd8f9b05",[4433],"64c0e5a","made Google dance.\" I mean that's such a joke",{"_30":4436,"_16":272,"_273":4437,"_146":3539},"bf0efcd21d4a",[],{"_30":4439,"_16":272,"_273":4440,"_146":4442},"ce7067cf632b",[4441],"1bf2556","now.",[4444,4445,4447,4449],{"_30":4417,"_16":3563,"_3564":4410},{"_30":4425,"_16":3563,"_3564":4446},"00:03:25.340",{"_30":4433,"_16":3563,"_3564":4448},"00:03:28.340",{"_30":4441,"_16":3563,"_3564":4450},"00:03:31.180",{"_30":4452,"_16":267,"_268":4453,"_276":4475,"_278":279},"396d50fccdc9",[4454,4459,4462,4467,4470],{"_30":4455,"_16":272,"_273":4456,"_146":4458},"2a82d152e5b8",[4457],"2f19372","And then we came out with Cody and Cody",{"_30":4460,"_16":272,"_273":4461,"_146":3539},"fcc62575836f",[],{"_30":4463,"_16":272,"_273":4464,"_146":4466},"00937b589748",[4465],"b3e4af1","was the RAG chat. \"Wow, we can actually write whole files.\"",{"_30":4468,"_16":272,"_273":4469,"_146":3539},"28d171a01b83",[],{"_30":4471,"_16":272,"_273":4472,"_146":4474},"a21a877677c9",[4473],"262ca53","That was amazing.",[4476,4477,4479],{"_30":4457,"_16":3563,"_3564":4450},{"_30":4465,"_16":3563,"_3564":4478},"00:03:34.100",{"_30":4473,"_16":3563,"_3564":4480},"00:03:37.100",{"_30":4482,"_16":267,"_268":4483,"_276":4513,"_278":279},"ceb18ac47616",[4484,4489,4492,4497,4500,4505,4508],{"_30":4485,"_16":272,"_273":4486,"_146":4488},"13466e45c499",[4487],"8c26dc7","And then we got leapfrogged by",{"_30":4490,"_16":272,"_273":4491,"_146":3539},"093078dfd646",[],{"_30":4493,"_16":272,"_273":4494,"_146":4496},"4d9d22ca9e78",[4495],"b730af4","Cursor and Windsurf and this was last October.",{"_30":4498,"_16":272,"_273":4499,"_146":3539},"f9a07968af9f",[],{"_30":4501,"_16":272,"_273":4502,"_146":4504},"08d2c73c704f",[4503],"dd95fc5","And then they got leapfrogged by Claude",{"_30":4506,"_16":272,"_273":4507,"_146":3539},"3a6281c41adf",[],{"_30":4509,"_16":272,"_273":4510,"_146":4512},"a1c587d59943",[4511],"cac7b9f","Code. We came out with AMP.",[4514,4515,4517,4519],{"_30":4487,"_16":3563,"_3564":4480},{"_30":4495,"_16":3563,"_3564":4516},"00:03:39.740",{"_30":4503,"_16":3563,"_3564":4518},"00:03:43.350",{"_30":4511,"_16":3563,"_3564":4520},"00:03:46.350",{"_30":4522,"_16":267,"_268":4523,"_276":4561,"_278":279},"d93db51d5847",[4524,4529,4532,4537,4540,4545,4548,4553,4556],{"_30":4525,"_16":272,"_273":4526,"_146":4528},"3971f52dd847",[4527],"ac9607b","And now, I mean I can say",{"_30":4530,"_16":272,"_273":4531,"_146":3539},"9ecf75ab2c76",[],{"_30":4533,"_16":272,"_273":4534,"_146":4536},"4f637341fa28",[4535],"8450344","it in SF. I was just in Austin and they were like, \"ah, not quite yet.\"",{"_30":4538,"_16":272,"_273":4539,"_146":3539},"8d51e9ca19ed",[],{"_30":4541,"_16":272,"_273":4542,"_146":4544},"68640499fc8d",[4543],"21399d8","But",{"_30":4546,"_16":272,"_273":4547,"_146":3539},"4c601b09e008",[],{"_30":4549,"_16":272,"_273":4550,"_146":4552},"7f4e8adc3471",[4551],"f8171c8","here in SF, I think we all know that Cursor and Windsurf are already",{"_30":4554,"_16":272,"_273":4555,"_146":3539},"0ac5d3820ce9",[],{"_30":4557,"_16":272,"_273":4558,"_146":4560},"56297492ff73",[4559],"f62680c","the previous generation.",[4562,4563,4565,4566,4568],{"_30":4527,"_16":3563,"_3564":4520},{"_30":4535,"_16":3563,"_3564":4564},"00:03:49.310",{"_30":4543,"_16":3563,"_3564":4564},{"_30":4551,"_16":3563,"_3564":4567},"00:03:52.270",{"_30":4559,"_16":3563,"_3564":4569},"00:03:55.110",{"_30":4571,"_16":267,"_268":4572,"_276":4602,"_278":2470},"0ec8851c27bd",[4573,4578,4581,4586,4589,4594,4597],{"_30":4574,"_16":272,"_273":4575,"_146":4577},"a54e9d292095",[4576],"deca64e","Everything is changing",{"_30":4579,"_16":272,"_273":4580,"_146":3539},"5012a7bc526f",[],{"_30":4582,"_16":272,"_273":4583,"_146":4585},"51db1e0b059a",[4584],"25545a4","so fast, it's absolutely",{"_30":4587,"_16":272,"_273":4588,"_146":3539},"7149aeefb4ac",[],{"_30":4590,"_16":272,"_273":4591,"_146":4593},"4b52880ce8f3",[4592],"534f108","insane. So how do we deal with",{"_30":4595,"_16":272,"_273":4596,"_146":3539},"3ba959ca954d",[],{"_30":4598,"_16":272,"_273":4599,"_146":4601},"01c865e4e2bd",[4600],"8cef967","this as a team? How do we deal with that pace of change?",[4603,4604,4606,4608],{"_30":4576,"_16":3563,"_3564":4569},{"_30":4584,"_16":3563,"_3564":4605},"00:03:57.990",{"_30":4592,"_16":3563,"_3564":4607},"00:04:00.670",{"_30":4600,"_16":3563,"_3564":4609},"00:04:03.550",{"_30":4611,"_16":267,"_268":4612,"_276":4666,"_278":279},"45d108ace0a6",[4613,4618,4621,4626,4629,4634,4637,4642,4645,4650,4653,4658,4661],{"_30":4614,"_16":272,"_273":4615,"_146":4617},"6014ab989d9e",[4616],"e1e33e7","I run the team through stuff like this and this all makes sense",{"_30":4619,"_16":272,"_273":4620,"_146":3539},"117c696fa0e6",[],{"_30":4622,"_16":272,"_273":4623,"_146":4625},"7f5364c77817",[4624],"8e7b38a","intellectually, but I got a problem and it's a problem that some",{"_30":4627,"_16":272,"_273":4628,"_146":3539},"ff3f81e6f02e",[],{"_30":4630,"_16":272,"_273":4631,"_146":4633},"48803177339c",[4632],"bc76931","of you have, some of you will have, which is, yeah, maybe",{"_30":4635,"_16":272,"_273":4636,"_146":3539},"2a66fce557be",[],{"_30":4638,"_16":272,"_273":4639,"_146":4641},"fb01b0f6bd5f",[4640],"608569c","the devs are gonna get it, but you got a lot of",{"_30":4643,"_16":272,"_273":4644,"_146":3539},"7349f7bf53bd",[],{"_30":4646,"_16":272,"_273":4647,"_146":4649},"b9d50fe8cf64",[4648],"7d7afed","enterprise salespeople that have",{"_30":4651,"_16":272,"_273":4652,"_146":3539},"58aa4c1ebe65",[],{"_30":4654,"_16":272,"_273":4655,"_146":4657},"de725964fe6c",[4656],"5f31852","been selling in a great way, the old way,",{"_30":4659,"_16":272,"_273":4660,"_146":3539},"c668440593a2",[],{"_30":4662,"_16":272,"_273":4663,"_146":4665},"a3591dc31fba",[4664],"d7b23b6","for a long time.",[4667,4669,4671,4673,4675,4677,4679],{"_30":4616,"_16":3563,"_3564":4668},"00:04:06.310",{"_30":4624,"_16":3563,"_3564":4670},"00:04:09.030",{"_30":4632,"_16":3563,"_3564":4672},"00:04:11.980",{"_30":4640,"_16":3563,"_3564":4674},"00:04:14.900",{"_30":4648,"_16":3563,"_3564":4676},"00:04:17.540",{"_30":4656,"_16":3563,"_3564":4678},"00:04:20.420",{"_30":4664,"_16":3563,"_3564":4680},"00:04:23.220",{"_30":4682,"_16":267,"_268":4683,"_276":4705,"_278":279},"dc6e681cb898",[4684,4689,4692,4697,4700],{"_30":4685,"_16":272,"_273":4686,"_146":4688},"e3eac032a9ab",[4687],"c7e6612","How do you get them to change when",{"_30":4690,"_16":272,"_273":4691,"_146":3539},"9a5cc2a0efe4",[],{"_30":4693,"_16":272,"_273":4694,"_146":4696},"cfd0650ff2d5",[4695],"2629f8f","their paychecks depend on it? It's",{"_30":4698,"_16":272,"_273":4699,"_146":3539},"7f4b987e4342",[],{"_30":4701,"_16":272,"_273":4702,"_146":4704},"27f1de1200b1",[4703],"87f07db","tough. So, this didn't quite work.",[4706,4707,4709],{"_30":4687,"_16":3563,"_3564":4680},{"_30":4695,"_16":3563,"_3564":4708},"00:04:26.139",{"_30":4703,"_16":3563,"_3564":4710},"00:04:28.820",{"_30":4712,"_16":267,"_268":4713,"_276":4751,"_278":279},"c8ef789b9f57",[4714,4719,4722,4727,4730,4735,4738,4743,4746],{"_30":4715,"_16":272,"_273":4716,"_146":4718},"add976047ead",[4717],"20d4ead","And I",{"_30":4720,"_16":272,"_273":4721,"_146":3539},"11dc922e28fc",[],{"_30":4723,"_16":272,"_273":4724,"_146":4726},"5785008c8bd7",[4725],"614c8bb","walked the team through something that's",{"_30":4728,"_16":272,"_273":4729,"_146":3539},"f1ce39ed74b7",[],{"_30":4731,"_16":272,"_273":4732,"_146":4734},"ed0c29b3518f",[4733],"8a8913d","just, looking at all the assumptions that we've had, all",{"_30":4736,"_16":272,"_273":4737,"_146":3539},"9edb55b53a78",[],{"_30":4739,"_16":272,"_273":4740,"_146":4742},"26a2b7e41dc6",[4741],"20c5821","this advice you get about sales is all based on a bunch of assumptions that",{"_30":4744,"_16":272,"_273":4745,"_146":3539},"bebeefcfdf18",[],{"_30":4747,"_16":272,"_273":4748,"_146":4750},"6af97c2e7047",[4749],"580229a","have been totally overturned.",[4752,4753,4755,4757,4759],{"_30":4717,"_16":3563,"_3564":4710},{"_30":4725,"_16":3563,"_3564":4754},"00:04:31.820",{"_30":4733,"_16":3563,"_3564":4756},"00:04:34.820",{"_30":4741,"_16":3563,"_3564":4758},"00:04:37.650",{"_30":4749,"_16":3563,"_3564":4760},"00:04:40.650",{"_30":4762,"_16":267,"_268":4763,"_276":4801,"_278":279},"d0b38c936097",[4764,4769,4772,4777,4780,4785,4788,4793,4796],{"_30":4765,"_16":272,"_273":4766,"_146":4768},"486e4211e93d",[4767],"e2dc8e0","So, in the",{"_30":4770,"_16":272,"_273":4771,"_146":3539},"cb4a21fbc982",[],{"_30":4773,"_16":272,"_273":4774,"_146":4776},"a591d9d619d0",[4775],"af79b1e","glory days of SaaS, if you got a customer, you'd keep",{"_30":4778,"_16":272,"_273":4779,"_146":3539},"cbcbc750dd07",[],{"_30":4781,"_16":272,"_273":4782,"_146":4784},"275f4bc43ea6",[4783],"94e8e36","them for five years.",{"_30":4786,"_16":272,"_273":4787,"_146":3539},"fcac4f675acc",[],{"_30":4789,"_16":272,"_273":4790,"_146":4792},"40ed1aa79afd",[4791],"d7afb38","The gross margins were really good. You didn't",{"_30":4794,"_16":272,"_273":4795,"_146":3539},"b16b8cda7d2b",[],{"_30":4797,"_16":272,"_273":4798,"_146":4800},"44d566857c51",[4799],"3a9bd9a","have LLM inference that was really expensive.",[4802,4803,4805,4807,4808],{"_30":4767,"_16":3563,"_3564":4760},{"_30":4775,"_16":3563,"_3564":4804},"00:04:43.570",{"_30":4783,"_16":3563,"_3564":4806},"00:04:46.530",{"_30":4791,"_16":3563,"_3564":4806},{"_30":4799,"_16":3563,"_3564":4809},"00:04:49.450",{"_30":4811,"_16":267,"_268":4812,"_276":4842,"_278":279},"431e1db04cfa",[4813,4818,4821,4826,4829,4834,4837],{"_30":4814,"_16":272,"_273":4815,"_146":4817},"8faf057637fd",[4816],"836c9ea","You could basically build a product like, I don't want",{"_30":4819,"_16":272,"_273":4820,"_146":3539},"2bdae4456a9e",[],{"_30":4822,"_16":272,"_273":4823,"_146":4825},"1fa18a3945c7",[4824],"7f612bf","to talk ill of any customers, I love all the customers, but",{"_30":4827,"_16":272,"_273":4828,"_146":3539},"66370ebf4784",[],{"_30":4830,"_16":272,"_273":4831,"_146":4833},"9df6e94db4f0",[4832],"4df14fc","I think we all know that there's some products that were built 15 years ago",{"_30":4835,"_16":272,"_273":4836,"_146":3539},"8f83515b904e",[],{"_30":4838,"_16":272,"_273":4839,"_146":4841},"3a248bc855f6",[4840],"d6f7b53","and haven't really changed that much, and they're still kind of milking it out there.",[4843,4845,4847,4849],{"_30":4816,"_16":3563,"_3564":4844},"00:04:52.729",{"_30":4824,"_16":3563,"_3564":4846},"00:04:55.490",{"_30":4832,"_16":3563,"_3564":4848},"00:04:58.490",{"_30":4840,"_16":3563,"_3564":4850},"00:05:01.330",{"_30":4852,"_16":267,"_268":4853,"_276":4875,"_278":279},"c70ec20d7706",[4854,4859,4862,4867,4870],{"_30":4855,"_16":272,"_273":4856,"_146":4858},"8f9b772f78f9",[4857],"0a7e4f8","Yeah, that used to be possible. None of these things hold",{"_30":4860,"_16":272,"_273":4861,"_146":3539},"91e01b12f9bf",[],{"_30":4863,"_16":272,"_273":4864,"_146":4866},"b6db33f0e041",[4865],"66b0e1d","anymore. And any advice that you hear about sales is based",{"_30":4868,"_16":272,"_273":4869,"_146":3539},"e4800f0bcff0",[],{"_30":4871,"_16":272,"_273":4872,"_146":4874},"852b79409c73",[4873],"c08e394","on these assumptions and none of them hold anymore.",[4876,4878,4880],{"_30":4857,"_16":3563,"_3564":4877},"00:05:04.780",{"_30":4865,"_16":3563,"_3564":4879},"00:05:07.430",{"_30":4873,"_16":3563,"_3564":4881},"00:05:10.270",{"_30":4883,"_16":267,"_268":4884,"_276":4930,"_278":279},"1bace96040aa",[4885,4890,4893,4898,4901,4906,4909,4914,4917,4922,4925],{"_30":4886,"_16":272,"_273":4887,"_146":4889},"4e690b08a768",[4888],"d97d27e","So you should pretty much discount all of that. Now the",{"_30":4891,"_16":272,"_273":4892,"_146":3539},"f8e37c30fc42",[],{"_30":4894,"_16":272,"_273":4895,"_146":4897},"822de2f585be",[4896],"30af4bb","cycle is five months. I mean, we felt that",{"_30":4899,"_16":272,"_273":4900,"_146":3539},"20a23f665f70",[],{"_30":4902,"_16":272,"_273":4903,"_146":4905},"fd4131bcaf1c",[4904],"61174e6","firsthand being leapfrogged.",{"_30":4907,"_16":272,"_273":4908,"_146":3539},"190660ba81c5",[],{"_30":4910,"_16":272,"_273":4911,"_146":4913},"1fb05f48345f",[4912],"a30c8f3","And now",{"_30":4915,"_16":272,"_273":4916,"_146":3539},"cfa5689d210d",[],{"_30":4918,"_16":272,"_273":4919,"_146":4921},"e5ce5c537d12",[4920],"45e4b46","Cursor is feeling that firsthand being leapfrogged. The gross",{"_30":4923,"_16":272,"_273":4924,"_146":3539},"2494a773c653",[],{"_30":4926,"_16":272,"_273":4927,"_146":4929},"53965ae46281",[4928],"8a7dca0","margins are tiny.",[4931,4933,4935,4937,4938,4940],{"_30":4888,"_16":3563,"_3564":4932},"00:05:13.150",{"_30":4896,"_16":3563,"_3564":4934},"00:05:15.870",{"_30":4904,"_16":3563,"_3564":4936},"00:05:18.790",{"_30":4912,"_16":3563,"_3564":4936},{"_30":4920,"_16":3563,"_3564":4939},"00:05:21.390",{"_30":4928,"_16":3563,"_3564":4941},"00:05:24.390",{"_30":4943,"_16":267,"_268":4944,"_276":4948,"_278":279},"b2c2d58455ac",[4945],{"_30":4946,"_16":272,"_273":4947,"_146":449},"944ed9ab0054",[],[],{"_30":4950,"_16":267,"_268":4951,"_276":4956,"_278":353},"4fb11cc1c6c8",[4952],{"_30":4953,"_16":272,"_273":4954,"_146":4955},"a3cc10d17c80",[],"Building for the Right Customers",[],{"_30":4958,"_16":267,"_268":4959,"_276":4963,"_278":279},"b7e68dae9d1e",[4960],{"_30":4961,"_16":272,"_273":4962,"_146":449},"1b00e4cc0c8d",[],[],{"_30":4965,"_16":267,"_268":4966,"_276":5004,"_278":279},"3331cce87d5e",[4967,4972,4975,4980,4983,4988,4991,4996,4999],{"_30":4968,"_16":272,"_273":4969,"_146":4971},"bbf763f69e32",[4970],"961232a","So think about this. If",{"_30":4973,"_16":272,"_273":4974,"_146":3539},"2688ed3e4169",[],{"_30":4976,"_16":272,"_273":4977,"_146":4979},"1786e6adb6bd",[4978],"7c7030e","you are doing 100 million ARR in some",{"_30":4981,"_16":272,"_273":4982,"_146":3539},"e964ec09b980",[],{"_30":4984,"_16":272,"_273":4985,"_146":4987},"d468eabea19b",[4986],"f4a47f1","AI thing where your gross margins are 20%, that's 20",{"_30":4989,"_16":272,"_273":4990,"_146":3539},"d493a160ef85",[],{"_30":4992,"_16":272,"_273":4993,"_146":4995},"f4627af7e75e",[4994],"8cfac91","million. That doesn't pay for a lot of",{"_30":4997,"_16":272,"_273":4998,"_146":3539},"d82a74409ac3",[],{"_30":5000,"_16":272,"_273":5001,"_146":5003},"213962753fb3",[5002],"9c5df20","stuff, actually.",[5005,5006,5008,5010,5012],{"_30":4970,"_16":3563,"_3564":4941},{"_30":4978,"_16":3563,"_3564":5007},"00:05:27.270",{"_30":4986,"_16":3563,"_3564":5009},"00:05:29.990",{"_30":4994,"_16":3563,"_3564":5011},"00:05:32.900",{"_30":5002,"_16":3563,"_3564":5013},"00:05:35.660",{"_30":5015,"_16":267,"_268":5016,"_276":5046,"_278":279},"78fb9b131883",[5017,5022,5025,5030,5033,5038,5041],{"_30":5018,"_16":272,"_273":5019,"_146":5021},"4708e7165785",[5020],"dfe3f9d","So everything is overturned.",{"_30":5023,"_16":272,"_273":5024,"_146":3539},"7a0f6954b775",[],{"_30":5026,"_16":272,"_273":5027,"_146":5029},"a4221b667d02",[5028],"cc06def","Keep that in mind when hearing advice from advisors,",{"_30":5031,"_16":272,"_273":5032,"_146":3539},"166a71ee8b4d",[],{"_30":5034,"_16":272,"_273":5035,"_146":5037},"89178aa72a13",[5036],"7fe2a6b","from people that have been really successful, VPs of sales and",{"_30":5039,"_16":272,"_273":5040,"_146":3539},"306865e439eb",[],{"_30":5042,"_16":272,"_273":5043,"_146":5045},"6bc6e8e445e6",[5044],"2b1ff2c","VCs and so on.",[5047,5048,5050,5052],{"_30":5020,"_16":3563,"_3564":5013},{"_30":5028,"_16":3563,"_3564":5049},"00:05:38.820",{"_30":5036,"_16":3563,"_3564":5051},"00:05:41.740",{"_30":5044,"_16":3563,"_3564":5053},"00:05:44.820",{"_30":5055,"_16":267,"_268":5056,"_276":5086,"_278":279},"1f160c55f54b",[5057,5062,5065,5070,5073,5078,5081],{"_30":5058,"_16":272,"_273":5059,"_146":5061},"bfe243ecaffa",[5060],"4a1cee2","Because",{"_30":5063,"_16":272,"_273":5064,"_146":3539},"127e4a883863",[],{"_30":5066,"_16":272,"_273":5067,"_146":5069},"7398d0fa85b6",[5068],"bad7325","instead, I think, you should be taking",{"_30":5071,"_16":272,"_273":5072,"_146":3539},"7ee11a6437eb",[],{"_30":5074,"_16":272,"_273":5075,"_146":5077},"dad1dc744559",[5076],"c58301c","advice from the teams that are adding 100 million ARR",{"_30":5079,"_16":272,"_273":5080,"_146":3539},"4ea9af60cd8b",[],{"_30":5082,"_16":272,"_273":5083,"_146":5085},"9e0cd3a3b100",[5084],"b0c8623","between the times they take showers.",[5087,5088,5090,5092],{"_30":5060,"_16":3563,"_3564":5053},{"_30":5068,"_16":3563,"_3564":5089},"00:05:47.540",{"_30":5076,"_16":3563,"_3564":5091},"00:05:50.300",{"_30":5084,"_16":3563,"_3564":5093},"00:05:53.300",{"_30":5095,"_16":267,"_268":5096,"_276":5126,"_278":279},"bd3586905d60",[5097,5102,5105,5110,5113,5118,5121],{"_30":5098,"_16":272,"_273":5099,"_146":5101},"3d6c512eb2a6",[5100],"34bf206","Because there are people",{"_30":5103,"_16":272,"_273":5104,"_146":3539},"72ed342315e6",[],{"_30":5106,"_16":272,"_273":5107,"_146":5109},"3856cb3100da",[5108],"981914c","like that that exist. They probably don't shower every",{"_30":5111,"_16":272,"_273":5112,"_146":3539},"f5caaa7fcc7b",[],{"_30":5114,"_16":272,"_273":5115,"_146":5117},"7a7d09dc4f99",[5116],"09dcfb7","day, but, still it's pretty impressive. And",{"_30":5119,"_16":272,"_273":5120,"_146":3539},"7ab129bcaee2",[],{"_30":5122,"_16":272,"_273":5123,"_146":5125},"3a1e7d7d987a",[5124],"9248342","knowing that's possible, you've got to chase that.",[5127,5128,5130,5132],{"_30":5100,"_16":3563,"_3564":5093},{"_30":5108,"_16":3563,"_3564":5129},"00:05:56.140",{"_30":5116,"_16":3563,"_3564":5131},"00:05:59.080",{"_30":5124,"_16":3563,"_3564":5133},"00:06:02.080",{"_30":5135,"_16":267,"_268":5136,"_276":5166,"_278":279},"5ee2d179d1f7",[5137,5142,5145,5150,5153,5158,5161],{"_30":5138,"_16":272,"_273":5139,"_146":5141},"0bd6523a26ba",[5140],"6019549","This is a message I",{"_30":5143,"_16":272,"_273":5144,"_146":3539},"c8db62b5409b",[],{"_30":5146,"_16":272,"_273":5147,"_146":5149},"960046645c75",[5148],"c70db0e","gave the team: Adapt or die. A year",{"_30":5151,"_16":272,"_273":5152,"_146":3539},"f003cdaf1153",[],{"_30":5154,"_16":272,"_273":5155,"_146":5157},"d2b4e6d19f17",[5156],"37f249f","ago, it would be like the weakest slide ever. And now it's just like,",{"_30":5159,"_16":272,"_273":5160,"_146":3539},"9301dd7d92ec",[],{"_30":5162,"_16":272,"_273":5163,"_146":5165},"bd4d43debbd9",[5164],"9db2661","full radical.",[5167,5168,5170,5172],{"_30":5140,"_16":3563,"_3564":5133},{"_30":5148,"_16":3563,"_3564":5169},"00:06:05.000",{"_30":5156,"_16":3563,"_3564":5171},"00:06:07.920",{"_30":5164,"_16":3563,"_3564":5173},"00:06:10.920",{"_30":5175,"_16":267,"_268":5176,"_276":5206,"_278":279},"9b01543fea6a",[5177,5182,5185,5190,5193,5198,5201],{"_30":5178,"_16":272,"_273":5179,"_146":5181},"712da79002f0",[5180],"b166ac0","And if you're not talking like this with your team, then you're babying",{"_30":5183,"_16":272,"_273":5184,"_146":3539},"166365d67ac1",[],{"_30":5186,"_16":272,"_273":5187,"_146":5189},"a20c277eb50c",[5188],"7d41735","them.",{"_30":5191,"_16":272,"_273":5192,"_146":3539},"5aa175105434",[],{"_30":5194,"_16":272,"_273":5195,"_146":5197},"63fe64ba889f",[5196],"1b060cc","All right. Second thing is, and this is a little bit controversial",{"_30":5199,"_16":272,"_273":5200,"_146":3539},"90b82d75536a",[],{"_30":5202,"_16":272,"_273":5203,"_146":5205},"7c0c262bbeec",[5204],"4148b39","for Heavybit, build for customers who get it.",[5207,5208,5210,5212],{"_30":5180,"_16":3563,"_3564":5173},{"_30":5188,"_16":3563,"_3564":5209},"00:06:13.920",{"_30":5196,"_16":3563,"_3564":5211},"00:06:15.040",{"_30":5204,"_16":3563,"_3564":5213},"00:06:17.960",{"_30":5215,"_16":267,"_268":5216,"_276":5238,"_278":279},"1bfd0b15136c",[5217,5222,5225,5230,5233],{"_30":5218,"_16":272,"_273":5219,"_146":5221},"87ebcc538a7b",[5220],"e3371f9","So who here has heard of this term \"Enterprise Ready?\"",{"_30":5223,"_16":272,"_273":5224,"_146":3539},"0f9235db1265",[],{"_30":5226,"_16":272,"_273":5227,"_146":5229},"45b62b31e5fb",[5228],"df9e2c4","Yeah, Enterprise Ready. All right. I love Enterprise Ready. It was",{"_30":5231,"_16":272,"_273":5232,"_146":3539},"e165a1abad4f",[],{"_30":5234,"_16":272,"_273":5235,"_146":5237},"c396bc88011c",[5236],"353730d","really helpful for us.",[5239,5241,5243],{"_30":5220,"_16":3563,"_3564":5240},"00:06:21.360",{"_30":5228,"_16":3563,"_3564":5242},"00:06:25.390",{"_30":5236,"_16":3563,"_3564":5244},"00:06:28.270",{"_30":5246,"_16":267,"_268":5247,"_276":5301,"_278":2470},"1351ade7b21b",[5248,5253,5256,5261,5264,5269,5272,5277,5280,5285,5288,5293,5296],{"_30":5249,"_16":272,"_273":5250,"_146":5252},"057049b83516",[5251],"b0fe57a","It is true that enterprises are where all the",{"_30":5254,"_16":272,"_273":5255,"_146":3539},"7f7b1e911a25",[],{"_30":5257,"_16":272,"_273":5258,"_146":5260},"d3091b350d8a",[5259],"921d4ce","money is for software. If you got some software",{"_30":5262,"_16":272,"_273":5263,"_146":3539},"4e1b1e50ff6f",[],{"_30":5265,"_16":272,"_273":5266,"_146":5268},"ca2e45f46d43",[5267],"f95d324","business, it's either gonna die or you're gonna make money selling",{"_30":5270,"_16":272,"_273":5271,"_146":3539},"e92831b22c12",[],{"_30":5273,"_16":272,"_273":5274,"_146":5276},"b3ef13add6f3",[5275],"d1c8db9","$5 million to JP Morgan. And that is",{"_30":5278,"_16":272,"_273":5279,"_146":3539},"6d5cbcba8edb",[],{"_30":5281,"_16":272,"_273":5282,"_146":5284},"406b5a24d2b2",[5283],"1e2f85b","totally right. However, I believe Enterprise",{"_30":5286,"_16":272,"_273":5287,"_146":3539},"9e249c511544",[],{"_30":5289,"_16":272,"_273":5290,"_146":5292},"423fa7066ae5",[5291],"fc037d0","Ready needs to change. And this is another area where",{"_30":5294,"_16":272,"_273":5295,"_146":3539},"0de494ff5ddd",[],{"_30":5297,"_16":272,"_273":5298,"_146":5300},"16c8ee32b30b",[5299],"2a0352b","you've got to overturn everything you've thought.",[5302,5303,5305,5307,5309,5311,5313],{"_30":5251,"_16":3563,"_3564":5244},{"_30":5259,"_16":3563,"_3564":5304},"00:06:31.150",{"_30":5267,"_16":3563,"_3564":5306},"00:06:33.910",{"_30":5275,"_16":3563,"_3564":5308},"00:06:36.710",{"_30":5283,"_16":3563,"_3564":5310},"00:06:39.710",{"_30":5291,"_16":3563,"_3564":5312},"00:06:42.430",{"_30":5299,"_16":3563,"_3564":5314},"00:06:45.430",{"_30":5316,"_16":267,"_268":5317,"_276":5339,"_278":279},"7e32b5a3d351",[5318,5323,5326,5331,5334],{"_30":5319,"_16":272,"_273":5320,"_146":5322},"d96f0f8e086a",[5321],"5a911fb","So Enterprise Ready is all that",{"_30":5324,"_16":272,"_273":5325,"_146":3539},"b2b9802c58a4",[],{"_30":5327,"_16":272,"_273":5328,"_146":5330},"1ea9c58c1b90",[5329],"8a6cf8d","stuff here on the left. And all of this stuff made sense until",{"_30":5332,"_16":272,"_273":5333,"_146":3539},"a64b8cbc15d8",[],{"_30":5335,"_16":272,"_273":5336,"_146":5338},"e0456ff4f6dc",[5337],"b42d65a","literally December.",[5340,5341,5343],{"_30":5321,"_16":3563,"_3564":5314},{"_30":5329,"_16":3563,"_3564":5342},"00:06:48.350",{"_30":5337,"_16":3563,"_3564":5344},"00:06:51.190",{"_30":5346,"_16":267,"_268":5347,"_276":5385,"_278":279},"553793523eb1",[5348,5353,5356,5361,5364,5369,5372,5377,5380],{"_30":5349,"_16":272,"_273":5350,"_146":5352},"2b4ed1ab1e29",[5351],"b6890d3","For",{"_30":5354,"_16":272,"_273":5355,"_146":3539},"eafcb5524f1c",[],{"_30":5357,"_16":272,"_273":5358,"_146":5360},"c6f4194d8af9",[5359],"c3837f0","AI specifically, you've got to have that model dropdown with like",{"_30":5362,"_16":272,"_273":5363,"_146":3539},"d84fad3764f8",[],{"_30":5365,"_16":272,"_273":5366,"_146":5368},"f1b2eedf1210",[5367],"d3d2846","17 models because everyone wants that.",{"_30":5370,"_16":272,"_273":5371,"_146":3539},"78cea076c6ce",[],{"_30":5373,"_16":272,"_273":5374,"_146":5376},"e7f9e34018eb",[5375],"3f9261a","The AI",{"_30":5378,"_16":272,"_273":5379,"_146":3539},"9a4cc00fb88e",[],{"_30":5381,"_16":272,"_273":5382,"_146":5384},"49042800960e",[5383],"3493638","councils love that. You've got to deploy self-hosted.",[5386,5387,5389,5391,5392],{"_30":5351,"_16":3563,"_3564":5344},{"_30":5359,"_16":3563,"_3564":5388},"00:06:53.900",{"_30":5367,"_16":3563,"_3564":5390},"00:06:56.700",{"_30":5375,"_16":3563,"_3564":5390},{"_30":5383,"_16":3563,"_3564":5393},"00:06:59.340",{"_30":5395,"_16":267,"_268":5396,"_276":5442,"_278":279},"1251184da744",[5397,5402,5405,5410,5413,5418,5421,5426,5429,5434,5437],{"_30":5398,"_16":272,"_273":5399,"_146":5401},"a033baa3a6c7",[5400],"64d1886","\"Oh,",{"_30":5403,"_16":272,"_273":5404,"_146":3539},"d16131d42c29",[],{"_30":5406,"_16":272,"_273":5407,"_146":5409},"6e0449e9b7c8",[5408],"9399c3f","we get, we want bedrock or whatever.\" You've got to",{"_30":5411,"_16":272,"_273":5412,"_146":3539},"d42ce2d4351b",[],{"_30":5414,"_16":272,"_273":5415,"_146":5417},"5b0a0dc98c67",[5416],"26eb51d","build for the dumbest users ever.",{"_30":5419,"_16":272,"_273":5420,"_146":3539},"4cc74c8a9575",[],{"_30":5422,"_16":272,"_273":5423,"_146":5425},"03610529ddfb",[5424],"3d486a4","And I'm sorry, that statement pisses a lot of people off, but it's true. Like they",{"_30":5427,"_16":272,"_273":5428,"_146":3539},"b938eb1d470d",[],{"_30":5430,"_16":272,"_273":5431,"_146":5433},"5b78178518ab",[5432],"08b632f","don't want to learn and there's a lot of people that are not as smart as other",{"_30":5435,"_16":272,"_273":5436,"_146":3539},"8ee74c9e8384",[],{"_30":5438,"_16":272,"_273":5439,"_146":5441},"4ab612d391f1",[5440],"faf2ed4","devs.",[5443,5444,5446,5448,5450,5452],{"_30":5400,"_16":3563,"_3564":5393},{"_30":5408,"_16":3563,"_3564":5445},"00:07:02.300",{"_30":5416,"_16":3563,"_3564":5447},"00:07:05.300",{"_30":5424,"_16":3563,"_3564":5449},"00:07:08.299",{"_30":5432,"_16":3563,"_3564":5451},"00:07:11.180",{"_30":5440,"_16":3563,"_3564":5453},"00:07:14.140",{"_30":5455,"_16":267,"_268":5456,"_276":5478,"_278":279},"9db9701d0dc4",[5457,5462,5465,5470,5473],{"_30":5458,"_16":272,"_273":5459,"_146":5461},"171442cd21dd",[5460],"5f98bbb","Everyone loved it. I mean, it was like",{"_30":5463,"_16":272,"_273":5464,"_146":3539},"c109a0fc6cdd",[],{"_30":5466,"_16":272,"_273":5467,"_146":5469},"e539316a5fc1",[5468],"de3c9f4","mana falling from heaven when you could get code AI for 20 bucks a",{"_30":5471,"_16":272,"_273":5472,"_146":3539},"4e7ccf150a3c",[],{"_30":5474,"_16":272,"_273":5475,"_146":5477},"77576e410400",[5476],"331c977","month and it was all you can eat. What an amazing time.",[5479,5480,5482],{"_30":5460,"_16":3563,"_3564":5453},{"_30":5468,"_16":3563,"_3564":5481},"00:07:17.140",{"_30":5476,"_16":3563,"_3564":5483},"00:07:20.060",{"_30":5485,"_16":267,"_268":5486,"_276":5516,"_278":279},"0f8f02f538de",[5487,5492,5495,5500,5503,5508,5511],{"_30":5488,"_16":272,"_273":5489,"_146":5491},"39b635597c91",[5490],"a6f8ef9","All this stuff, it does not",{"_30":5493,"_16":272,"_273":5494,"_146":3539},"1912cc4ad2f3",[],{"_30":5496,"_16":272,"_273":5497,"_146":5499},"f5d960554100",[5498],"6c82b39","matter anymore because every single enterprise",{"_30":5501,"_16":272,"_273":5502,"_146":3539},"89523455e62a",[],{"_30":5504,"_16":272,"_273":5505,"_146":5507},"0148703111c9",[5506],"3e3928c","in the last six or nine months said, they don't give a fuck about",{"_30":5509,"_16":272,"_273":5510,"_146":3539},"e38b113babd7",[],{"_30":5512,"_16":272,"_273":5513,"_146":5515},"9de9ae24849e",[5514],"c87102b","all that stuff.",[5517,5519,5521,5523],{"_30":5490,"_16":3563,"_3564":5518},"00:07:22.980",{"_30":5498,"_16":3563,"_3564":5520},"00:07:25.980",{"_30":5506,"_16":3563,"_3564":5522},"00:07:28.980",{"_30":5514,"_16":3563,"_3564":5524},"00:07:31.900",{"_30":5526,"_16":267,"_268":5527,"_276":5549,"_278":279},"816bd9511cfd",[5528,5533,5536,5541,5544],{"_30":5529,"_16":272,"_273":5530,"_146":5532},"23f6ed3ce5fa",[5531],"68a0a8e","What they care more about than anything else in the world is",{"_30":5534,"_16":272,"_273":5535,"_146":3539},"38c6dd101c64",[],{"_30":5537,"_16":272,"_273":5538,"_146":5540},"60f93a6e7f28",[5539],"348ea4e","the very best coding agent, and if",{"_30":5542,"_16":272,"_273":5543,"_146":3539},"f19fcd496d4e",[],{"_30":5545,"_16":272,"_273":5546,"_146":5548},"e95b5ee47a0e",[5547],"22580cc","you're not giving them that, then you're falling behind.",[5550,5551,5553],{"_30":5531,"_16":3563,"_3564":5524},{"_30":5539,"_16":3563,"_3564":5552},"00:07:34.860",{"_30":5547,"_16":3563,"_3564":5554},"00:07:37.780",{"_30":5556,"_16":267,"_268":5557,"_276":5579,"_278":279},"193de67574b3",[5558,5563,5566,5571,5574],{"_30":5559,"_16":272,"_273":5560,"_146":5562},"a067d2d441b4",[5561],"4897d2a","And so whatever this means for your product, figure that",{"_30":5564,"_16":272,"_273":5565,"_146":3539},"d2bdd5e893fb",[],{"_30":5567,"_16":272,"_273":5568,"_146":5570},"224a97421dda",[5569],"3f0c954","out. And I'm not saying there's no companies",{"_30":5572,"_16":272,"_273":5573,"_146":3539},"04265a771319",[],{"_30":5575,"_16":272,"_273":5576,"_146":5578},"c2fd238b8c28",[5577],"a618fb8","that want that old stuff on the left.",[5580,5582,5584],{"_30":5561,"_16":3563,"_3564":5581},"00:07:41.060",{"_30":5569,"_16":3563,"_3564":5583},"00:07:43.780",{"_30":5577,"_16":3563,"_3564":5585},"00:07:46.660",{"_30":5587,"_16":267,"_268":5588,"_276":5618,"_278":279},"c9dcfbd9aee5",[5589,5594,5597,5602,5605,5610,5613],{"_30":5590,"_16":272,"_273":5591,"_146":5593},"16e37a7e5e69",[5592],"d40d684","I'm just saying they're probably gonna",{"_30":5595,"_16":272,"_273":5596,"_146":3539},"c7124429c034",[],{"_30":5598,"_16":272,"_273":5599,"_146":5601},"ba53ce299dbe",[5600],"d29e644","die in three years anyway and your sales cycle will not be",{"_30":5603,"_16":272,"_273":5604,"_146":3539},"36aee4abdcc1",[],{"_30":5606,"_16":272,"_273":5607,"_146":5609},"f4acd6cc983d",[5608],"3445281","complete before that. So I would not recommend",{"_30":5611,"_16":272,"_273":5612,"_146":3539},"4ec5977fda47",[],{"_30":5614,"_16":272,"_273":5615,"_146":5617},"1ec64cf72a7e",[5616],"fa8ac32","that.",[5619,5620,5622,5624],{"_30":5592,"_16":3563,"_3564":5585},{"_30":5600,"_16":3563,"_3564":5621},"00:07:49.550",{"_30":5608,"_16":3563,"_3564":5623},"00:07:52.470",{"_30":5616,"_16":3563,"_3564":5625},"00:07:55.430",{"_30":5627,"_16":267,"_268":5628,"_276":5632,"_278":279},"ba3203ad8789",[5629],{"_30":5630,"_16":272,"_273":5631,"_146":449},"c8f85ba66c13",[],[],{"_30":5634,"_16":267,"_268":5635,"_276":5640,"_278":353},"0aa2eeedbbd9",[5636],{"_30":5637,"_16":272,"_273":5638,"_146":5639},"10e9c9723c98",[],"A Tale of 3 Top-10 Companies",[],{"_30":5642,"_16":267,"_268":5643,"_276":5647,"_278":279},"7ce135f7eb5c",[5644],{"_30":5645,"_16":272,"_273":5646,"_146":449},"504de71ffa33",[],[],{"_30":5649,"_16":267,"_268":5650,"_276":5672,"_278":279},"825f69d94146",[5651,5656,5659,5664,5667],{"_30":5652,"_16":272,"_273":5653,"_146":5655},"02494f0c1d66",[5654],"dced0b9","What you'll see though, that all sounds good,",{"_30":5657,"_16":272,"_273":5658,"_146":3539},"153ccacd6633",[],{"_30":5660,"_16":272,"_273":5661,"_146":5663},"7c00287dfb83",[5662],"d7e4690","is you're talking to three",{"_30":5665,"_16":272,"_273":5666,"_146":3539},"cc07a6499e8c",[],{"_30":5668,"_16":272,"_273":5669,"_146":5671},"b530a6e33e62",[5670],"defd396","companies and these are real.",[5673,5674,5676],{"_30":5654,"_16":3563,"_3564":5625},{"_30":5662,"_16":3563,"_3564":5675},"00:07:58.110",{"_30":5670,"_16":3563,"_3564":5677},"00:08:00.910",{"_30":5679,"_16":267,"_268":5680,"_276":5718,"_278":279},"a8f2d0567d89",[5681,5686,5689,5694,5697,5702,5705,5710,5713],{"_30":5682,"_16":272,"_273":5683,"_146":5685},"8887cbea17bc",[5684],"223aa27","I had to anonymize",{"_30":5687,"_16":272,"_273":5688,"_146":3539},"0b02b4bf7703",[],{"_30":5690,"_16":272,"_273":5691,"_146":5693},"7ad4d761fb06",[5692],"f09521f","them a little bit, but these are real companies that we've",{"_30":5695,"_16":272,"_273":5696,"_146":3539},"f441b00d5156",[],{"_30":5698,"_16":272,"_273":5699,"_146":5701},"37abb99ab54f",[5700],"98beff3","been talking to.",{"_30":5703,"_16":272,"_273":5704,"_146":3539},"64f7aac32271",[],{"_30":5706,"_16":272,"_273":5707,"_146":5709},"3143a6e50a19",[5708],"9acd36c","And all of these are names where",{"_30":5711,"_16":272,"_273":5712,"_146":3539},"40b7498c6542",[],{"_30":5714,"_16":272,"_273":5715,"_146":5717},"b1aa2243474c",[5716],"52124cf","you'd be like, \"Whoa, I would kill to have these as customers.\"",[5719,5720,5722,5724,5725],{"_30":5684,"_16":3563,"_3564":5677},{"_30":5692,"_16":3563,"_3564":5721},"00:08:03.910",{"_30":5700,"_16":3563,"_3564":5723},"00:08:06.830",{"_30":5708,"_16":3563,"_3564":5723},{"_30":5716,"_16":3563,"_3564":5726},"00:08:09.790",{"_30":5728,"_16":267,"_268":5729,"_276":5775,"_278":279},"c054c8e0eb7d",[5730,5735,5738,5743,5746,5751,5754,5759,5762,5767,5770],{"_30":5731,"_16":272,"_273":5732,"_146":5734},"f22768e2e58b",[5733],"3667336","And it's hard when you have a sales rep",{"_30":5736,"_16":272,"_273":5737,"_146":3539},"c5bcbb8450dc",[],{"_30":5739,"_16":272,"_273":5740,"_146":5742},"464bcc80a29b",[5741],"c256803","or a team member or a dev who knows people and is building stuff",{"_30":5744,"_16":272,"_273":5745,"_146":3539},"451cacae7f14",[],{"_30":5747,"_16":272,"_273":5748,"_146":5750},"6014b2049b4b",[5749],"b00d32c","and this, Company 1, where, \"oh, we've got this",{"_30":5752,"_16":272,"_273":5753,"_146":3539},"168c7538d6b9",[],{"_30":5755,"_16":272,"_273":5756,"_146":5758},"fc5cee2134fd",[5757],"6975cce","aggressive mandate to go get AI.\" And yet they haven't even",{"_30":5760,"_16":272,"_273":5761,"_146":3539},"c2d5f7e20273",[],{"_30":5763,"_16":272,"_273":5764,"_146":5766},"2ef0a9bb6a5c",[5765],"2294a99","accepted Sonnet 3.5, which is crazy",{"_30":5768,"_16":272,"_273":5769,"_146":3539},"c4987522ad0a",[],{"_30":5771,"_16":272,"_273":5772,"_146":5774},"03716c9d953c",[5773],"9d898c9","and they're totally out of tune.",[5776,5778,5780,5782,5784,5786],{"_30":5733,"_16":3563,"_3564":5777},"00:08:13.620",{"_30":5741,"_16":3563,"_3564":5779},"00:08:16.620",{"_30":5749,"_16":3563,"_3564":5781},"00:08:19.620",{"_30":5757,"_16":3563,"_3564":5783},"00:08:22.500",{"_30":5765,"_16":3563,"_3564":5785},"00:08:25.540",{"_30":5773,"_16":3563,"_3564":5787},"00:08:28.420",{"_30":5789,"_16":267,"_268":5790,"_276":5804,"_278":279},"2ee682fd7285",[5791,5796,5799],{"_30":5792,"_16":272,"_273":5793,"_146":5795},"95d5d017a3eb",[5794],"0f10d7f","But you've",{"_30":5797,"_16":272,"_273":5798,"_146":3539},"82809e624814",[],{"_30":5800,"_16":272,"_273":5801,"_146":5803},"fa21ba1a5a56",[5802],"22aa472","got to pull people away from working on that.",[5805,5806],{"_30":5794,"_16":3563,"_3564":5787},{"_30":5802,"_16":3563,"_3564":5807},"00:08:31.340",{"_30":5809,"_16":267,"_268":5810,"_276":5872,"_278":279},"706a06be991c",[5811,5816,5819,5824,5827,5832,5835,5840,5843,5848,5851,5856,5859,5864,5867],{"_30":5812,"_16":272,"_273":5813,"_146":5815},"501b75330fb5",[5814],"79aaf56","The",{"_30":5817,"_16":272,"_273":5818,"_146":3539},"cde12a48d988",[],{"_30":5820,"_16":272,"_273":5821,"_146":5823},"4c9e9a9f9a40",[5822],"ffa2418","middle one (company 2), this is a really great company and",{"_30":5825,"_16":272,"_273":5826,"_146":3539},"c8e2427c34a5",[],{"_30":5828,"_16":272,"_273":5829,"_146":5831},"b125b5b00eb3",[5830],"607d9f3","they have the ability, it's a very large bank,",{"_30":5833,"_16":272,"_273":5834,"_146":3539},"6c6b60d6e3a8",[],{"_30":5836,"_16":272,"_273":5837,"_146":5839},"cce530af6b5f",[5838],"a2ace5b","to immediately try any AI tool.",{"_30":5841,"_16":272,"_273":5842,"_146":3539},"560f85dd1e90",[],{"_30":5844,"_16":272,"_273":5845,"_146":5847},"6b00c1485bf6",[5846],"2e2d5b3","And so, if you're not getting",{"_30":5849,"_16":272,"_273":5850,"_146":3539},"908277c13105",[],{"_30":5852,"_16":272,"_273":5853,"_146":5855},"4008cde9307b",[5854],"3b4f707","your tool in immediately and being able to",{"_30":5857,"_16":272,"_273":5858,"_146":3539},"2ce2085bd96f",[],{"_30":5860,"_16":272,"_273":5861,"_146":5863},"d9f16c8f0dbd",[5862],"49e3260","have them try it out, then you're falling behind. That should be your",{"_30":5865,"_16":272,"_273":5866,"_146":3539},"ac61d2afd305",[],{"_30":5868,"_16":272,"_273":5869,"_146":5871},"8f9e9d0fafa3",[5870],"634da75","expectation.",[5873,5874,5876,5878,5880,5882,5884,5886],{"_30":5814,"_16":3563,"_3564":5807},{"_30":5822,"_16":3563,"_3564":5875},"00:08:34.020",{"_30":5830,"_16":3563,"_3564":5877},"00:08:36.980",{"_30":5838,"_16":3563,"_3564":5879},"00:08:40.230",{"_30":5846,"_16":3563,"_3564":5881},"00:08:42.950",{"_30":5854,"_16":3563,"_3564":5883},"00:08:45.910",{"_30":5862,"_16":3563,"_3564":5885},"00:08:48.830",{"_30":5870,"_16":3563,"_3564":5887},"00:08:51.630",{"_30":5889,"_16":267,"_268":5890,"_276":5928,"_278":279},"bfda3024b40c",[5891,5896,5899,5904,5907,5912,5915,5920,5923],{"_30":5892,"_16":272,"_273":5893,"_146":5895},"f4b153d51970",[5894],"44a1b14","And what you really want to find is the Company 3",{"_30":5897,"_16":272,"_273":5898,"_146":3539},"21f2dfb00843",[],{"_30":5900,"_16":272,"_273":5901,"_146":5903},"3892c074ef98",[5902],"645688f","where some guy sold his board on this thing",{"_30":5905,"_16":272,"_273":5906,"_146":3539},"a7ff1e75b01a",[],{"_30":5908,"_16":272,"_273":5909,"_146":5911},"3b3baf6bb8bd",[5910],"390744e","like, \"hey, we can save $120 million",{"_30":5913,"_16":272,"_273":5914,"_146":3539},"7f3ffcfa867a",[],{"_30":5916,"_16":272,"_273":5917,"_146":5919},"2aa27c5b8ae4",[5918],"efc443b","over the next year\" and he has no idea how the hell",{"_30":5921,"_16":272,"_273":5922,"_146":3539},"bd80850ccc96",[],{"_30":5924,"_16":272,"_273":5925,"_146":5927},"348bc7a8a099",[5926],"021eb0a","to realize that.",[5929,5930,5932,5934,5936],{"_30":5894,"_16":3563,"_3564":5887},{"_30":5902,"_16":3563,"_3564":5931},"00:08:54.470",{"_30":5910,"_16":3563,"_3564":5933},"00:08:57.350",{"_30":5918,"_16":3563,"_3564":5935},"00:09:00.310",{"_30":5926,"_16":3563,"_3564":5937},"00:09:03.030",{"_30":5939,"_16":267,"_268":5940,"_276":5978,"_278":279},"7366a0be5d7e",[5941,5946,5949,5954,5957,5962,5965,5970,5973],{"_30":5942,"_16":272,"_273":5943,"_146":5945},"a4b9aa861917",[5944],"671c797","And so it's like literally",{"_30":5947,"_16":272,"_273":5948,"_146":3539},"ee555812646a",[],{"_30":5950,"_16":272,"_273":5951,"_146":5953},"fde3aac4702b",[5952],"d807e9f","an existential thing for his career and for",{"_30":5955,"_16":272,"_273":5956,"_146":3539},"558d58dae46a",[],{"_30":5958,"_16":272,"_273":5959,"_146":5961},"61beee392c44",[5960],"49a6cfe","the company. And there are a lot of people in that position",{"_30":5963,"_16":272,"_273":5964,"_146":3539},"0c17400ec4c9",[],{"_30":5966,"_16":272,"_273":5967,"_146":5969},"4651aaf16858",[5968],"1f22866","like Company 3. And if you're building, you want to be building for them. So you",{"_30":5971,"_16":272,"_273":5972,"_146":3539},"938d411a4a4f",[],{"_30":5974,"_16":272,"_273":5975,"_146":5977},"ad897104dc72",[5976],"fce8453","got to sniff it out.",[5979,5980,5982,5984,5986],{"_30":5944,"_16":3563,"_3564":5937},{"_30":5952,"_16":3563,"_3564":5981},"00:09:05.830",{"_30":5960,"_16":3563,"_3564":5983},"00:09:08.710",{"_30":5968,"_16":3563,"_3564":5985},"00:09:11.470",{"_30":5976,"_16":3563,"_3564":5987},"00:09:14.430",{"_30":5989,"_16":267,"_268":5990,"_276":6028,"_278":279},"bfc94a897533",[5991,5996,5999,6004,6007,6012,6015,6020,6023],{"_30":5992,"_16":272,"_273":5993,"_146":5995},"ce8cbef3a35f",[5994],"f1c95c2","And if you ever feel like a company is",{"_30":5997,"_16":272,"_273":5998,"_146":3539},"a7876dde5d56",[],{"_30":6000,"_16":272,"_273":6001,"_146":6003},"78a445243b9c",[6002],"ab882ef","moving slow, anything related to AI that you're",{"_30":6005,"_16":272,"_273":6006,"_146":3539},"1c234ac5a0f5",[],{"_30":6008,"_16":272,"_273":6009,"_146":6011},"42d2195d9b46",[6010],"64d83b5","selling, if it's moving slow, then that's a huge problem",{"_30":6013,"_16":272,"_273":6014,"_146":3539},"3e2b285702f1",[],{"_30":6016,"_16":272,"_273":6017,"_146":6019},"b993ba6cdde8",[6018],"3c49b7f","because nothing with AI moves slow. And it probably means that they're not",{"_30":6021,"_16":272,"_273":6022,"_146":3539},"fcf33c900cff",[],{"_30":6024,"_16":272,"_273":6025,"_146":6027},"65f8a5519e5f",[6026],"ece0139","interested at all.",[6029,6030,6032,6034,6036],{"_30":5994,"_16":3563,"_3564":5987},{"_30":6002,"_16":3563,"_3564":6031},"00:09:17.190",{"_30":6010,"_16":3563,"_3564":6033},"00:09:19.910",{"_30":6018,"_16":3563,"_3564":6035},"00:09:22.710",{"_30":6026,"_16":3563,"_3564":6037},"00:09:25.589",{"_30":6039,"_16":267,"_268":6040,"_276":6062,"_278":279},"fec7fea26d0a",[6041,6046,6049,6054,6057],{"_30":6042,"_16":272,"_273":6043,"_146":6045},"bb99b1314126",[6044],"0ebbe24","So that's very different",{"_30":6047,"_16":272,"_273":6048,"_146":3539},"834ecc7071cd",[],{"_30":6050,"_16":272,"_273":6051,"_146":6053},"8165b575586f",[6052],"5149b32","because it used to be a nine month sales cycle, \"Oh, that's just what you",{"_30":6055,"_16":272,"_273":6056,"_146":3539},"259ecb1753ac",[],{"_30":6058,"_16":272,"_273":6059,"_146":6061},"8a015778aaad",[6060],"33f27f4","gotta do to get these banks.\" Not true anymore.",[6063,6064,6066],{"_30":6044,"_16":3563,"_3564":6037},{"_30":6052,"_16":3563,"_3564":6065},"00:09:28.510",{"_30":6060,"_16":3563,"_3564":6067},"00:09:31.350",{"_30":6069,"_16":267,"_268":6070,"_276":6074,"_278":279},"ea11558b2791",[6071],{"_30":6072,"_16":272,"_273":6073,"_146":449},"aacc60f51dc1",[],[],{"_30":6076,"_16":267,"_268":6077,"_276":6082,"_278":353},"cbb0fcdf2076",[6078],{"_30":6079,"_16":272,"_273":6080,"_146":6081},"f8c92226f43f",[],"Awareness Starts with Smart, Early Adopters",[],{"_30":6084,"_16":267,"_268":6085,"_276":6089,"_278":279},"156f186380c8",[6086],{"_30":6087,"_16":272,"_273":6088,"_146":449},"7bf383d13c5b",[],[],{"_30":6091,"_16":267,"_268":6092,"_276":6130,"_278":279},"242df1964687",[6093,6098,6101,6106,6109,6114,6117,6122,6125],{"_30":6094,"_16":272,"_273":6095,"_146":6097},"f010ad4fac51",[6096],"bfe06df","What you'll hear sometimes too is, \"well,",{"_30":6099,"_16":272,"_273":6100,"_146":3539},"79e24c2f6634",[],{"_30":6102,"_16":272,"_273":6103,"_146":6105},"fa756c61c888",[6104],"a20fa78","like, we can't just be selling to the early adopters because that's what everyone else",{"_30":6107,"_16":272,"_273":6108,"_146":3539},"59c788f32483",[],{"_30":6110,"_16":272,"_273":6111,"_146":6113},"8f0a258c7b7b",[6112],"6db0481","is selling to. We gotta build some",{"_30":6115,"_16":272,"_273":6116,"_146":3539},"982d5d0b68f7",[],{"_30":6118,"_16":272,"_273":6119,"_146":6121},"b8b8881f2f3d",[6120],"a9ae37d","stuff for the bigger market. Hey Quinn, you can't just sell to other",{"_30":6123,"_16":272,"_273":6124,"_146":3539},"5523c6ea53ff",[],{"_30":6126,"_16":272,"_273":6127,"_146":6129},"8864d7cb821a",[6128],"32236c7","devs that are like you and all that.\"",[6131,6133,6135,6137,6139],{"_30":6096,"_16":3563,"_3564":6132},"00:09:36.140",{"_30":6104,"_16":3563,"_3564":6134},"00:09:39.040",{"_30":6112,"_16":3563,"_3564":6136},"00:09:42.040",{"_30":6120,"_16":3563,"_3564":6138},"00:09:45.040",{"_30":6128,"_16":3563,"_3564":6140},"00:09:47.960",{"_30":6142,"_16":267,"_268":6143,"_276":6173,"_278":279},"cd3abb4db4fc",[6144,6149,6152,6157,6160,6165,6168],{"_30":6145,"_16":272,"_273":6146,"_146":6148},"60b9750815ae",[6147],"5bde315","And this is",{"_30":6150,"_16":272,"_273":6151,"_146":3539},"026716dfaed5",[],{"_30":6153,"_16":272,"_273":6154,"_146":6156},"2093da6f292d",[6155],"c65265b","hilarious because what they're literally saying is, \"let's go",{"_30":6158,"_16":272,"_273":6159,"_146":3539},"af0ea45027d7",[],{"_30":6161,"_16":272,"_273":6162,"_146":6164},"9b58ba2eee9c",[6163],"0ee4a99","sell to the laggards. But like, what if the laggards",{"_30":6166,"_16":272,"_273":6167,"_146":3539},"b9a882f6fabb",[],{"_30":6169,"_16":272,"_273":6170,"_146":6172},"a82730446d62",[6171],"d533cb6","would actually buy right now?\"",[6174,6175,6177,6179],{"_30":6147,"_16":3563,"_3564":6140},{"_30":6155,"_16":3563,"_3564":6176},"00:09:50.800",{"_30":6163,"_16":3563,"_3564":6178},"00:09:53.680",{"_30":6171,"_16":3563,"_3564":6180},"00:09:57.160",{"_30":6182,"_16":267,"_268":6183,"_276":6221,"_278":279},"d68358b61e85",[6184,6189,6192,6197,6200,6205,6208,6213,6216],{"_30":6185,"_16":272,"_273":6186,"_146":6188},"8fc96b5867a7",[6187],"d079e66","And that's not true. Literally they're",{"_30":6190,"_16":272,"_273":6191,"_146":3539},"7be9bf8ffc32",[],{"_30":6193,"_16":272,"_273":6194,"_146":6196},"c32aeb8572c0",[6195],"9a00f55","laggards because they don't buy shit right now.",{"_30":6198,"_16":272,"_273":6199,"_146":3539},"d82c5b21288c",[],{"_30":6201,"_16":272,"_273":6202,"_146":6204},"0d8413025760",[6203],"2cb3654","So, I've used this slide and this image a",{"_30":6206,"_16":272,"_273":6207,"_146":3539},"2155f9536f4a",[],{"_30":6209,"_16":272,"_273":6210,"_146":6212},"5346a6039edd",[6211],"bbe6be0","lot with advisors, investors, team members,",{"_30":6214,"_16":272,"_273":6215,"_146":3539},"9beb3157afd6",[],{"_30":6217,"_16":272,"_273":6218,"_146":6220},"6e681e8596e7",[6219],"46899da","and I think once they see it, it kind of clicks.",[6222,6223,6225,6227,6229],{"_30":6187,"_16":3563,"_3564":6180},{"_30":6195,"_16":3563,"_3564":6224},"00:10:00.040",{"_30":6203,"_16":3563,"_3564":6226},"00:10:02.960",{"_30":6211,"_16":3563,"_3564":6228},"00:10:05.960",{"_30":6219,"_16":3563,"_3564":6230},"00:10:08.960",{"_30":6232,"_16":267,"_268":6233,"_276":6263,"_278":2470},"090ff19a77b8",[6234,6239,6242,6247,6250,6255,6258],{"_30":6235,"_16":272,"_273":6236,"_146":6238},"f07d4392c537",[6237],"d1fe6e5","One difference is it used to be that",{"_30":6240,"_16":272,"_273":6241,"_146":3539},"5423bac7c443",[],{"_30":6243,"_16":272,"_273":6244,"_146":6246},"f3affb979940",[6245],"ad9a75c","this tech cycle would take five to",{"_30":6248,"_16":272,"_273":6249,"_146":3539},"4d6dd144644e",[],{"_30":6251,"_16":272,"_273":6252,"_146":6254},"183a0ba66ac2",[6253],"1bcb486","10 years. Now it takes",{"_30":6256,"_16":272,"_273":6257,"_146":3539},"e3e7aafacb35",[],{"_30":6259,"_16":272,"_273":6260,"_146":6262},"f1d1d40e898b",[6261],"f40a956","six months.",[6264,6266,6268,6270],{"_30":6237,"_16":3563,"_3564":6265},"00:10:12.680",{"_30":6245,"_16":3563,"_3564":6267},"00:10:15.600",{"_30":6253,"_16":3563,"_3564":6269},"00:10:18.320",{"_30":6261,"_16":3563,"_3564":6271},"00:10:21.240",{"_30":6273,"_16":267,"_268":6274,"_276":6296,"_278":279},"62139c71755b",[6275,6280,6283,6288,6291],{"_30":6276,"_16":272,"_273":6277,"_146":6279},"6c9422d045ec",[6278],"8662696","So what that means is actually if you're building",{"_30":6281,"_16":272,"_273":6282,"_146":3539},"d19f6f1f7231",[],{"_30":6284,"_16":272,"_273":6285,"_146":6287},"e213b0dee9d1",[6286],"98a2bb0","for the innovators and the early adopters, that's what everyone is going to be",{"_30":6289,"_16":272,"_273":6290,"_146":3539},"fa375bcf1f20",[],{"_30":6292,"_16":272,"_273":6293,"_146":6295},"2ecbcc1e218d",[6294],"453bc97","doing in like six months.",[6297,6298,6300],{"_30":6278,"_16":3563,"_3564":6271},{"_30":6286,"_16":3563,"_3564":6299},"00:10:24.200",{"_30":6294,"_16":3563,"_3564":6301},"00:10:27.200",{"_30":6303,"_16":267,"_268":6304,"_276":6342,"_278":279},"87d15102fbc6",[6305,6310,6313,6318,6321,6326,6329,6334,6337],{"_30":6306,"_16":272,"_273":6307,"_146":6309},"bfe8d7eaedd0",[6308],"673cc55","I think we've all seen",{"_30":6311,"_16":272,"_273":6312,"_146":3539},"348226e2e552",[],{"_30":6314,"_16":272,"_273":6315,"_146":6317},"65cafc2fb769",[6316],"3a01e3f","how fast fully agentic coding tools have",{"_30":6319,"_16":272,"_273":6320,"_146":3539},"89948d716496",[],{"_30":6322,"_16":272,"_273":6323,"_146":6325},"b93bf39d2e12",[6324],"49a845a","taken over. Two months ago, that was like the",{"_30":6327,"_16":272,"_273":6328,"_146":3539},"115ac3ddd30f",[],{"_30":6330,"_16":272,"_273":6331,"_146":6333},"7475d4ba5222",[6332],"e39ea2b","crazy thing to do and everyone had \"let's accept",{"_30":6335,"_16":272,"_273":6336,"_146":3539},"5b0d6fc0f7e0",[],{"_30":6338,"_16":272,"_273":6339,"_146":6341},"e70bd92890c9",[6340],"22f9dbf","every single file edit.\"",[6343,6344,6346,6348,6350],{"_30":6308,"_16":3563,"_3564":6301},{"_30":6316,"_16":3563,"_3564":6345},"00:10:29.870",{"_30":6324,"_16":3563,"_3564":6347},"00:10:32.830",{"_30":6332,"_16":3563,"_3564":6349},"00:10:35.470",{"_30":6340,"_16":3563,"_3564":6351},"00:10:38.230",{"_30":6353,"_16":267,"_268":6354,"_276":6407,"_278":279},"56a56474c8fb",[6355,6360,6363,6368,6371,6376,6379,6384,6387,6392,6395,6400,6403],{"_30":6356,"_16":272,"_273":6357,"_146":6359},"40d3a4201f87",[6358],"0cfa2b7","Now everyone is just like",{"_30":6361,"_16":272,"_273":6362,"_146":3539},"79dbbc09dfd6",[],{"_30":6364,"_16":272,"_273":6365,"_146":6367},"73bf3b4de13a",[6366],"0a93742","letting it go. So these things move so fast and you're never",{"_30":6369,"_16":272,"_273":6370,"_146":3539},"f8c1e6dca6b3",[],{"_30":6372,"_16":272,"_273":6373,"_146":6375},"f648a20d969d",[6374],"3221fd6","going to get on to even building for the laggards.",{"_30":6377,"_16":272,"_273":6378,"_146":3539},"de25e028e735",[],{"_30":6380,"_16":272,"_273":6381,"_146":6383},"0bf2ac3b29ef",[6382],"b54b5bd","They're",{"_30":6385,"_16":272,"_273":6386,"_146":3539},"37a99a011e12",[],{"_30":6388,"_16":272,"_273":6389,"_146":6391},"4587a11e57de",[6390],"54190e4","either going to be out of the job market or they're going",{"_30":6393,"_16":272,"_273":6394,"_146":3539},"93d43d1c8a77",[],{"_30":6396,"_16":272,"_273":6397,"_146":6399},"7db8abfbc0ff",[6398],"a6d0ea7","to have changed their tune by the time you get to",{"_30":6401,"_16":272,"_273":6402,"_146":3539},"08362ba06058",[],{"_30":6404,"_16":272,"_273":6405,"_146":5189},"645b6a031469",[6406],"3f573af",[6408,6409,6411,6413,6414,6416,6418],{"_30":6358,"_16":3563,"_3564":6351},{"_30":6366,"_16":3563,"_3564":6410},"00:10:41.110",{"_30":6374,"_16":3563,"_3564":6412},"00:10:43.990",{"_30":6382,"_16":3563,"_3564":6412},{"_30":6390,"_16":3563,"_3564":6415},"00:10:46.950",{"_30":6398,"_16":3563,"_3564":6417},"00:10:49.950",{"_30":6406,"_16":3563,"_3564":6419},"00:10:52.870",{"_30":6421,"_16":267,"_268":6422,"_276":6426,"_278":279},"67965a8eb471",[6423],{"_30":6424,"_16":272,"_273":6425,"_146":449},"11fff5fcb7ba",[],[],{"_30":6428,"_16":267,"_268":6429,"_276":6434,"_278":353},"0c4796d627ee",[6430],{"_30":6431,"_16":272,"_273":6432,"_146":6433},"56606761f2bf",[],"The Only Thing That Matters is Fast Growth in a Big Market",[],{"_30":6436,"_16":267,"_268":6437,"_276":6441,"_278":279},"d8f452902435",[6438],{"_30":6439,"_16":272,"_273":6440,"_146":449},"7e6f2daa5385",[],[],{"_30":6443,"_16":267,"_268":6444,"_276":6448,"_278":279},"a49a06dd68f4",[6445],{"_30":6446,"_16":272,"_273":6447,"_146":449},"4b257c299686",[],[],{"_30":6450,"_16":267,"_268":6451,"_276":6497,"_278":2470},"73b9f7457b7e",[6452,6457,6460,6465,6468,6473,6476,6481,6484,6489,6492],{"_30":6453,"_16":272,"_273":6454,"_146":6456},"b5d12d9e5c85",[6455],"d5daca8","Another thing is, especially in this",{"_30":6458,"_16":272,"_273":6459,"_146":3539},"e5e041a2388f",[],{"_30":6461,"_16":272,"_273":6462,"_146":6464},"2ee0a3a6fc4b",[6463],"8f36998","absolutely crazy time where things are moving faster than ever,",{"_30":6466,"_16":272,"_273":6467,"_146":3539},"e7cdccb0978d",[],{"_30":6469,"_16":272,"_273":6470,"_146":6472},"940e987ca835",[6471],"76eb6d9","the only thing that matters is fast",{"_30":6474,"_16":272,"_273":6475,"_146":3539},"0f2465f2f8d0",[],{"_30":6477,"_16":272,"_273":6478,"_146":6480},"632a4eb0e711",[6479],"da6c817","growth. And if you're not showing fast growth, then",{"_30":6482,"_16":272,"_273":6483,"_146":3539},"a69d59b5f7e6",[],{"_30":6485,"_16":272,"_273":6486,"_146":6488},"64415288236a",[6487],"ed2fde8","even more than ever before, you should take that as a signal",{"_30":6490,"_16":272,"_273":6491,"_146":3539},"b64d088be0df",[],{"_30":6493,"_16":272,"_273":6494,"_146":6496},"d849d49e7529",[6495],"68e90a3","that what you're doing is not clicking.",[6498,6499,6501,6503,6505,6507],{"_30":6455,"_16":3563,"_3564":6419},{"_30":6463,"_16":3563,"_3564":6500},"00:10:55.670",{"_30":6471,"_16":3563,"_3564":6502},"00:10:58.810",{"_30":6479,"_16":3563,"_3564":6504},"00:11:01.690",{"_30":6487,"_16":3563,"_3564":6506},"00:11:04.650",{"_30":6495,"_16":3563,"_3564":6508},"00:11:07.450",{"_30":6510,"_16":267,"_268":6511,"_276":6541,"_278":279},"eda49b798c40",[6512,6517,6520,6525,6528,6533,6536],{"_30":6513,"_16":272,"_273":6514,"_146":6516},"bfe86472cb4c",[6515],"e500a3d","Because now",{"_30":6518,"_16":272,"_273":6519,"_146":3539},"5bd970c85fea",[],{"_30":6521,"_16":272,"_273":6522,"_146":6524},"1fc019a179ac",[6523],"fa5656a","everyone is willing to spend more money, is willing to",{"_30":6526,"_16":272,"_273":6527,"_146":3539},"d1da751657b9",[],{"_30":6529,"_16":272,"_273":6530,"_146":6532},"ab2e2e730e5f",[6531],"ddbdf57","adopt things faster, is willing to change their workflows that they",{"_30":6534,"_16":272,"_273":6535,"_146":3539},"09c0875256fe",[],{"_30":6537,"_16":272,"_273":6538,"_146":6540},"5ac01129c83b",[6539],"32154d8","haven't changed for like 10 years, in two days.",[6542,6543,6545,6547],{"_30":6515,"_16":3563,"_3564":6508},{"_30":6523,"_16":3563,"_3564":6544},"00:11:11.130",{"_30":6531,"_16":3563,"_3564":6546},"00:11:13.810",{"_30":6539,"_16":3563,"_3564":6548},"00:11:16.690",{"_30":6550,"_16":267,"_268":6551,"_276":6573,"_278":279},"ede5f8916998",[6552,6557,6560,6565,6568],{"_30":6553,"_16":272,"_273":6554,"_146":6556},"3a7eb9496632",[6555],"998c9e3","Everything is changing so fast. So if you're not feeling that market pull,",{"_30":6558,"_16":272,"_273":6559,"_146":3539},"e576f1d15f8a",[],{"_30":6561,"_16":272,"_273":6562,"_146":6564},"6b9b7ae63698",[6563],"76244d8","then my advice is get onto the next thing.",{"_30":6566,"_16":272,"_273":6567,"_146":3539},"75f69e20936f",[],{"_30":6569,"_16":272,"_273":6570,"_146":6572},"0a55902fca83",[6571],"cc61b04","This whole, like, just stick with it.",[6574,6576,6578],{"_30":6555,"_16":3563,"_3564":6575},"00:11:20.010",{"_30":6563,"_16":3563,"_3564":6577},"00:11:22.970",{"_30":6571,"_16":3563,"_3564":6579},"00:11:26.260",{"_30":6581,"_16":267,"_268":6582,"_276":6612,"_278":279},"c9f8df13b0b9",[6583,6588,6591,6596,6599,6604,6607],{"_30":6584,"_16":272,"_273":6585,"_146":6587},"5d732a708827",[6586],"c29b51a","I'm the guy who",{"_30":6589,"_16":272,"_273":6590,"_146":3539},"94d44375f01d",[],{"_30":6592,"_16":272,"_273":6593,"_146":6595},"681955c0b367",[6594],"15b353d","spent, we're now on year 12, year 13 at",{"_30":6597,"_16":272,"_273":6598,"_146":3539},"bc9484e255ec",[],{"_30":6600,"_16":272,"_273":6601,"_146":6603},"4516232eb558",[6602],"b146926","Sourcegraph. I wish I'd learned this earlier, but",{"_30":6605,"_16":272,"_273":6606,"_146":3539},"f7a415ef643e",[],{"_30":6608,"_16":272,"_273":6609,"_146":6611},"00d7c31c03db",[6610],"64230a1","certainly you've got to do this now.",[6613,6614,6616,6618],{"_30":6586,"_16":3563,"_3564":6579},{"_30":6594,"_16":3563,"_3564":6615},"00:11:29.020",{"_30":6602,"_16":3563,"_3564":6617},"00:11:31.780",{"_30":6610,"_16":3563,"_3564":6619},"00:11:34.540",{"_30":6621,"_16":267,"_268":6622,"_276":6685,"_278":279},"bd8883081ee9",[6623,6628,6631,6636,6639,6644,6647,6652,6655,6660,6664,6669,6672,6677,6680],{"_30":6624,"_16":272,"_273":6625,"_146":6627},"a5ea74977529",[6626],"1a1a9df","And",{"_30":6629,"_16":272,"_273":6630,"_146":3539},"9c5a5a8c3a6e",[],{"_30":6632,"_16":272,"_273":6633,"_146":6635},"e1d00f036bf9",[6634],"2a37ff6","there's gonna be a lot of people that",{"_30":6637,"_16":272,"_273":6638,"_146":3539},"716cf6f160c8",[],{"_30":6640,"_16":272,"_273":6641,"_146":6643},"48b3d763907f",[6642],"0807782","try to distract you from fast growth.",{"_30":6645,"_16":272,"_273":6646,"_146":3539},"31dd5210cb5a",[],{"_30":6648,"_16":272,"_273":6649,"_146":6651},"4583c80d4e25",[6650],"5bc0b17","In particular, there's going to be a lot of people that make really",{"_30":6653,"_16":272,"_273":6654,"_146":3539},"ed81e4ffba84",[],{"_30":6656,"_16":272,"_273":6657,"_146":6659},"1b6a113b2a4f",[6658],"b561cb6","smart arguments of, you know, these people in the middle that are like,",{"_30":6661,"_16":272,"_273":6662,"_146":6663},"fae3af5ea757",[]," \"",{"_30":6665,"_16":272,"_273":6666,"_146":6668},"5ae9c4f0a171",[6667],"1d61b81","well, now that we've got the early win, let's put in",{"_30":6670,"_16":272,"_273":6671,"_146":3539},"acd2d2bace56",[],{"_30":6673,"_16":272,"_273":6674,"_146":6676},"48c6946a16d1",[6675],"42972c2","some structure, let's get a roadmap, let's get the org",{"_30":6678,"_16":272,"_273":6679,"_146":3539},"de67629ade8e",[],{"_30":6681,"_16":272,"_273":6682,"_146":6684},"e7090067c097",[6683],"bacb7d1","chart, let's get managers.\"",[6686,6687,6689,6691,6693,6695,6697,6699],{"_30":6626,"_16":3563,"_3564":6619},{"_30":6634,"_16":3563,"_3564":6688},"00:11:37.500",{"_30":6642,"_16":3563,"_3564":6690},"00:11:40.259",{"_30":6650,"_16":3563,"_3564":6692},"00:11:43.060",{"_30":6658,"_16":3563,"_3564":6694},"00:11:45.820",{"_30":6667,"_16":3563,"_3564":6696},"00:11:48.820",{"_30":6675,"_16":3563,"_3564":6698},"00:11:51.780",{"_30":6683,"_16":3563,"_3564":6700},"00:11:54.540",{"_30":6702,"_16":267,"_268":6703,"_276":6757,"_278":279},"cd3d8d44dcb0",[6704,6709,6712,6717,6720,6725,6728,6733,6736,6741,6744,6749,6752],{"_30":6705,"_16":272,"_273":6706,"_146":6708},"e5ee5ba50725",[6707],"f32641a","And some of that's",{"_30":6710,"_16":272,"_273":6711,"_146":3539},"67463eadc75a",[],{"_30":6713,"_16":272,"_273":6714,"_146":6716},"c55bc0d720f5",[6715],"75c9e14","probably good, but there's so much of that",{"_30":6718,"_16":272,"_273":6719,"_146":3539},"7cbe4d7ab6a9",[],{"_30":6721,"_16":272,"_273":6722,"_146":6724},"edef405c4ddf",[6723],"8c3a47d","if that means you move just a little bit more",{"_30":6726,"_16":272,"_273":6727,"_146":3539},"9f1a432362d4",[],{"_30":6729,"_16":272,"_273":6730,"_146":6732},"92ffe3b44abb",[6731],"60d283e","slowly, if that means that you do not have a team",{"_30":6734,"_16":272,"_273":6735,"_146":3539},"14d844b00f70",[],{"_30":6737,"_16":272,"_273":6738,"_146":6740},"1ca281d5df1e",[6739],"a6d03d2","that is up every single night late and on",{"_30":6742,"_16":272,"_273":6743,"_146":3539},"f3fa58e5c0f4",[],{"_30":6745,"_16":272,"_273":6746,"_146":6748},"c25fac602043",[6747],"d4b3b99","weekends getting ready for the new model release or something like that,",{"_30":6750,"_16":272,"_273":6751,"_146":3539},"202a4b25047d",[],{"_30":6753,"_16":272,"_273":6754,"_146":6756},"a919b7e03bed",[6755],"cf7c533","literally nothing else matters.",[6758,6759,6761,6763,6765,6767,6769],{"_30":6707,"_16":3563,"_3564":6700},{"_30":6715,"_16":3563,"_3564":6760},"00:11:57.520",{"_30":6723,"_16":3563,"_3564":6762},"00:12:00.440",{"_30":6731,"_16":3563,"_3564":6764},"00:12:03.120",{"_30":6739,"_16":3563,"_3564":6766},"00:12:06.040",{"_30":6747,"_16":3563,"_3564":6768},"00:12:08.920",{"_30":6755,"_16":3563,"_3564":6770},"00:12:11.520",{"_30":6772,"_16":267,"_268":6773,"_276":6803,"_278":279},"61bc5d169edf",[6774,6779,6782,6787,6790,6795,6798],{"_30":6775,"_16":272,"_273":6776,"_146":6778},"e7e63b02df0a",[6777],"a9ed9e1","It doesn't matter that you have a good manager",{"_30":6780,"_16":272,"_273":6781,"_146":3539},"98a6c2aed0f6",[],{"_30":6783,"_16":272,"_273":6784,"_146":6786},"868666dd471c",[6785],"3d90a29","in place because it's all going to be irrelevant.",{"_30":6788,"_16":272,"_273":6789,"_146":3539},"7e3c60a020ed",[],{"_30":6791,"_16":272,"_273":6792,"_146":6794},"e3f5ce150c70",[6793],"bcbc097","So, you want to be, I think",{"_30":6796,"_16":272,"_273":6797,"_146":3539},"dd67371c7e43",[],{"_30":6799,"_16":272,"_273":6800,"_146":6802},"3d035d822ea2",[6801],"f57cab2","actually either side will win. I think you're all the smartest.",[6804,6805,6807,6809],{"_30":6777,"_16":3563,"_3564":6770},{"_30":6785,"_16":3563,"_3564":6806},"00:12:14.360",{"_30":6793,"_16":3563,"_3564":6808},"00:12:17.520",{"_30":6801,"_16":3563,"_3564":6810},"00:12:20.640",{"_30":6812,"_16":267,"_268":6813,"_276":6835,"_278":279},"04e01ac49168",[6814,6819,6822,6827,6830],{"_30":6815,"_16":272,"_273":6816,"_146":6818},"3cbdebc9879f",[6817],"f5d2125","I think that's of course what everyone thinks they are. Anything",{"_30":6820,"_16":272,"_273":6821,"_146":3539},"6e607377e39c",[],{"_30":6823,"_16":272,"_273":6824,"_146":6826},"f99687d36a59",[6825],"404cc6f","that takes you away from that growth is",{"_30":6828,"_16":272,"_273":6829,"_146":3539},"f7ad1e78b227",[],{"_30":6831,"_16":272,"_273":6832,"_146":6834},"863c8b0ce103",[6833],"4c64b51","fatal.",[6836,6838,6840],{"_30":6817,"_16":3563,"_3564":6837},"00:12:24.100",{"_30":6825,"_16":3563,"_3564":6839},"00:12:27.020",{"_30":6833,"_16":3563,"_3564":6841},"00:12:29.700",{"_30":6843,"_16":267,"_268":6844,"_276":6882,"_278":279},"d8e4321c2922",[6845,6850,6853,6858,6861,6866,6869,6874,6877],{"_30":6846,"_16":272,"_273":6847,"_146":6849},"f61ad6b84aa7",[6848],"a11e246","And in the past you could kind of",{"_30":6851,"_16":272,"_273":6852,"_146":3539},"b55b7a152917",[],{"_30":6854,"_16":272,"_273":6855,"_146":6857},"9bd21bfcd25d",[6856],"ff62f29","scale when the cycles were moving more slowly. You",{"_30":6859,"_16":272,"_273":6860,"_146":3539},"9ead42d3350e",[],{"_30":6862,"_16":272,"_273":6863,"_146":6865},"0149ab035856",[6864],"d94968f","could take your eye off the ball as a CEO and co-founder for a little",{"_30":6867,"_16":272,"_273":6868,"_146":3539},"5261cf14b3bd",[],{"_30":6870,"_16":272,"_273":6871,"_146":6873},"ec9d29bf2365",[6872],"8a4e94d","bit and the market wasn't moving as fast, but you",{"_30":6875,"_16":272,"_273":6876,"_146":3539},"315dfa3df061",[],{"_30":6878,"_16":272,"_273":6879,"_146":6881},"bb2f01c45d11",[6880],"d0db62e","just cannot do that anymore.",[6883,6884,6886,6888,6890],{"_30":6848,"_16":3563,"_3564":6841},{"_30":6856,"_16":3563,"_3564":6885},"00:12:32.660",{"_30":6864,"_16":3563,"_3564":6887},"00:12:35.660",{"_30":6872,"_16":3563,"_3564":6889},"00:12:38.420",{"_30":6880,"_16":3563,"_3564":6891},"00:12:41.420",{"_30":6893,"_16":267,"_268":6894,"_276":6924,"_278":279},"4595de7c35d4",[6895,6900,6903,6908,6911,6916,6919],{"_30":6896,"_16":272,"_273":6897,"_146":6899},"665c1575a8dc",[6898],"bd6a57c","So,",{"_30":6901,"_16":272,"_273":6902,"_146":3539},"98cfb00dadbd",[],{"_30":6904,"_16":272,"_273":6905,"_146":6907},"36487cecdc26",[6906],"d32e732","for example, when we built AMP, we pushed to main, no code",{"_30":6909,"_16":272,"_273":6910,"_146":3539},"701b7d35b26c",[],{"_30":6912,"_16":272,"_273":6913,"_146":6915},"382c718a700a",[6914],"d1ba853","review. We've had one synchronous meeting in the entire",{"_30":6917,"_16":272,"_273":6918,"_146":3539},"7d003e58b51e",[],{"_30":6920,"_16":272,"_273":6921,"_146":6923},"e4789baf9642",[6922],"fa04108","history of AMP.",[6925,6926,6928,6930],{"_30":6898,"_16":3563,"_3564":6891},{"_30":6906,"_16":3563,"_3564":6927},"00:12:44.700",{"_30":6914,"_16":3563,"_3564":6929},"00:12:47.500",{"_30":6922,"_16":3563,"_3564":6931},"00:12:51.340",{"_30":6933,"_16":267,"_268":6934,"_276":6964,"_278":279},"a147f2089d42",[6935,6940,6943,6948,6951,6956,6959],{"_30":6936,"_16":272,"_273":6937,"_146":6939},"88b02dadb2b2",[6938],"4e1ead7","We're breaking all the rules. We have no issue",{"_30":6941,"_16":272,"_273":6942,"_146":3539},"e5731a3bdfcd",[],{"_30":6944,"_16":272,"_273":6945,"_146":6947},"49995abbf4cf",[6946],"ffae841","tracker whatsoever. And",{"_30":6949,"_16":272,"_273":6950,"_146":3539},"6bd7c9a273ac",[],{"_30":6952,"_16":272,"_273":6953,"_146":6955},"6216a1c56313",[6954],"707bcbe","customers say that",{"_30":6957,"_16":272,"_273":6958,"_146":3539},"8e057a43908f",[],{"_30":6960,"_16":272,"_273":6961,"_146":6963},"f187cba13d18",[6962],"0a6b45a","the product is very good.",[6965,6966,6968,6970],{"_30":6938,"_16":3563,"_3564":6931},{"_30":6946,"_16":3563,"_3564":6967},"00:12:54.260",{"_30":6954,"_16":3563,"_3564":6969},"00:12:57.340",{"_30":6962,"_16":3563,"_3564":6971},"00:13:00.300",{"_30":6973,"_16":267,"_268":6974,"_276":7004,"_278":279},"93bb8d7f389a",[6975,6980,6983,6988,6991,6996,6999],{"_30":6976,"_16":272,"_273":6977,"_146":6979},"bb342268ef95",[6978],"6f3d43e","And we",{"_30":6981,"_16":272,"_273":6982,"_146":3539},"c4ac2059ec3a",[],{"_30":6984,"_16":272,"_273":6985,"_146":6987},"ecd9f5e9fc6a",[6986],"1a80ed2","used to do all those things at Sourcegraph. We're not doing those things anymore, even on",{"_30":6989,"_16":272,"_273":6990,"_146":3539},"7060c00d32e8",[],{"_30":6992,"_16":272,"_273":6993,"_146":6995},"0708bb87e901",[6994],"cc8c802","those other teams. So just breaking all the rules",{"_30":6997,"_16":272,"_273":6998,"_146":3539},"4700805c0271",[],{"_30":7000,"_16":272,"_273":7001,"_146":7003},"89421458c148",[7002],"0805ce1","from all the smart people.",[7005,7006,7008,7010],{"_30":6978,"_16":3563,"_3564":6971},{"_30":6986,"_16":3563,"_3564":7007},"00:13:03.300",{"_30":6994,"_16":3563,"_3564":7009},"00:13:06.300",{"_30":7002,"_16":3563,"_3564":7011},"00:13:09.100",{"_30":7013,"_16":267,"_268":7014,"_276":7052,"_278":279},"fa246620c3e5",[7015,7020,7023,7028,7031,7036,7039,7044,7047],{"_30":7016,"_16":272,"_273":7017,"_146":7019},"2a38665e4218",[7018],"6913937","And by the way, when they tell you these",{"_30":7021,"_16":272,"_273":7022,"_146":3539},"635ed10a615f",[],{"_30":7024,"_16":272,"_273":7025,"_146":7027},"de03a609cc66",[7026],"e986ea9","things, it's not going to sound dumb, because they're smart people and they're",{"_30":7029,"_16":272,"_273":7030,"_146":3539},"96e9bf75fd46",[],{"_30":7032,"_16":272,"_273":7033,"_146":7035},"27d9e868ba63",[7034],"7f4e3bb","coming from a good place.",{"_30":7037,"_16":272,"_273":7038,"_146":3539},"98c154616105",[],{"_30":7040,"_16":272,"_273":7041,"_146":7043},"bb1742284cae",[7042],"e92dc40","But you've got to know that everything has",{"_30":7045,"_16":272,"_273":7046,"_146":3539},"6da922ec13ff",[],{"_30":7048,"_16":272,"_273":7049,"_146":7051},"affd5073437f",[7050],"1e15dc2","changed. You've got to throw away all that old knowledge.",[7053,7054,7056,7058,7059],{"_30":7018,"_16":3563,"_3564":7011},{"_30":7026,"_16":3563,"_3564":7055},"00:13:11.900",{"_30":7034,"_16":3563,"_3564":7057},"00:13:14.900",{"_30":7042,"_16":3563,"_3564":7057},{"_30":7050,"_16":3563,"_3564":7060},"00:13:17.900",{"_30":7062,"_16":267,"_268":7063,"_276":7067,"_278":279},"8447f04a3d74",[7064],{"_30":7065,"_16":272,"_273":7066,"_146":449},"ac6713cb665c",[],[],{"_30":7069,"_16":267,"_268":7070,"_276":7075,"_278":353},"854896dd3c8d",[7071],{"_30":7072,"_16":272,"_273":7073,"_146":7074},"949d081d05a5",[],"Keep Coding",[],{"_30":7077,"_16":267,"_268":7078,"_276":7082,"_278":279},"c89e55f54580",[7079],{"_30":7080,"_16":272,"_273":7081,"_146":449},"cb9f1ab2530c",[],[],{"_30":7084,"_16":267,"_268":7085,"_276":7099,"_278":279},"28061b8c9545",[7086,7091,7094],{"_30":7087,"_16":272,"_273":7088,"_146":7090},"c9eb0a03b841",[7089],"c4fff34","And in one specific thing, you're going to hear a lot of people say",{"_30":7092,"_16":272,"_273":7093,"_146":3539},"90e254f35081",[],{"_30":7095,"_16":272,"_273":7096,"_146":7098},"8dd09dc90361",[7097],"5ae430e","you should stop coding.",[7100,7102],{"_30":7089,"_16":3563,"_3564":7101},"00:13:21.090",{"_30":7097,"_16":3563,"_3564":7103},"00:13:24.030",{"_30":7105,"_16":267,"_268":7106,"_276":7144,"_278":279},"3a0be5c6ff59",[7107,7112,7115,7120,7123,7128,7131,7136,7139],{"_30":7108,"_16":272,"_273":7109,"_146":7111},"d40f3aa16596",[7110],"2b2d9d6","And you've got to ignore those haters and losers",{"_30":7113,"_16":272,"_273":7114,"_146":3539},"3fa1df6254fb",[],{"_30":7116,"_16":272,"_273":7117,"_146":7119},"5b37816b69cf",[7118],"b9b6d83","and you've got to keep coding. Yes.",{"_30":7121,"_16":272,"_273":7122,"_146":3539},"083a37eabb6a",[],{"_30":7124,"_16":272,"_273":7125,"_146":7127},"562f20d32943",[7126],"536dc5e","Who here has been told that they should stop coding and",{"_30":7129,"_16":272,"_273":7130,"_146":3539},"f3600445d22d",[],{"_30":7132,"_16":272,"_273":7133,"_146":7135},"93db9de3c3d3",[7134],"c4d5624","work on the more important things in their role?",{"_30":7137,"_16":272,"_273":7138,"_146":3539},"d4a3ea0870c0",[],{"_30":7140,"_16":272,"_273":7141,"_146":7143},"8071eb9cdeb2",[7142],"c54b206","Anyone?",[7145,7146,7148,7150,7152],{"_30":7110,"_16":3563,"_3564":7103},{"_30":7118,"_16":3563,"_3564":7147},"00:13:27.030",{"_30":7126,"_16":3563,"_3564":7149},"00:13:30.630",{"_30":7134,"_16":3563,"_3564":7151},"00:13:33.590",{"_30":7142,"_16":3563,"_3564":7153},"00:13:36.870",{"_30":7155,"_16":267,"_268":7156,"_276":7202,"_278":279},"43c7f1dba6f8",[7157,7162,7165,7170,7173,7178,7181,7186,7189,7194,7197],{"_30":7158,"_16":272,"_273":7159,"_146":7161},"249a8c2062f2",[7160],"6a8228a","All right, I see a handful of people.",{"_30":7163,"_16":272,"_273":7164,"_146":3539},"ada4ad2ff4fd",[],{"_30":7166,"_16":272,"_273":7167,"_146":7169},"03618c58f4af",[7168],"d44eaa5","I think you're going to be getting that more and more. Maybe",{"_30":7171,"_16":272,"_273":7172,"_146":3539},"0b70a3a491f6",[],{"_30":7174,"_16":272,"_273":7175,"_146":7177},"64b1cb5a8d4b",[7176],"d86f991","there's a shred of good advice there, like,",{"_30":7179,"_16":272,"_273":7180,"_146":3539},"11c6ee5e918b",[],{"_30":7182,"_16":272,"_273":7183,"_146":7185},"074cf752eb30",[7184],"0a72310","five years ago, but now CEOs and",{"_30":7187,"_16":272,"_273":7188,"_146":3539},"727f7576aab7",[],{"_30":7190,"_16":272,"_273":7191,"_146":7193},"8dc10f0351af",[7192],"6922f8e","founders, really, anyone at a company can have way more leverage from",{"_30":7195,"_16":272,"_273":7196,"_146":3539},"0af292d6be7a",[],{"_30":7198,"_16":272,"_273":7199,"_146":7201},"b0c2320158fd",[7200],"50c48eb","coding.",[7203,7204,7206,7208,7210,7212],{"_30":7160,"_16":3563,"_3564":7153},{"_30":7168,"_16":3563,"_3564":7205},"00:13:39.950",{"_30":7176,"_16":3563,"_3564":7207},"00:13:42.830",{"_30":7184,"_16":3563,"_3564":7209},"00:13:45.920",{"_30":7192,"_16":3563,"_3564":7211},"00:13:48.840",{"_30":7200,"_16":3563,"_3564":7213},"00:13:51.680",{"_30":7215,"_16":267,"_268":7216,"_276":7238,"_278":279},"9701570854f3",[7217,7222,7225,7230,7233],{"_30":7218,"_16":272,"_273":7219,"_146":7221},"24ffd6a378fb",[7220],"55ac6d2","I was just talking to a customer",{"_30":7223,"_16":272,"_273":7224,"_146":3539},"2d84294fae32",[],{"_30":7226,"_16":272,"_273":7227,"_146":7229},"314fba1b7e84",[7228],"300f792","yesterday who's got about 500 employees.",{"_30":7231,"_16":272,"_273":7232,"_146":3539},"34e86c0d7226",[],{"_30":7234,"_16":272,"_273":7235,"_146":7237},"731f313b46cf",[7236],"272c908","It's a really cool company that's been around for 20 years.",[7239,7240,7242],{"_30":7220,"_16":3563,"_3564":7213},{"_30":7228,"_16":3563,"_3564":7241},"00:13:54.640",{"_30":7236,"_16":3563,"_3564":7243},"00:13:57.800",{"_30":7245,"_16":267,"_268":7246,"_276":7276,"_278":279},"48470b2c2e96",[7247,7252,7255,7260,7263,7268,7271],{"_30":7248,"_16":272,"_273":7249,"_146":7251},"84471a4c6382",[7250],"1c6f11b","This guy's not written a lick of code in 15 years, but he went to",{"_30":7253,"_16":272,"_273":7254,"_146":3539},"4ec2acae5be7",[],{"_30":7256,"_16":272,"_273":7257,"_146":7259},"bca4ee345907",[7258],"d9c1342","Waterloo, and he's really smart. And, in the last week,",{"_30":7261,"_16":272,"_273":7262,"_146":3539},"80d0539eb84e",[],{"_30":7264,"_16":272,"_273":7265,"_146":7267},"9d0d4732aeb9",[7266],"69f0fc2","he started coding again using AMP, which is like,",{"_30":7269,"_16":272,"_273":7270,"_146":3539},"680da1f6e0df",[],{"_30":7272,"_16":272,"_273":7273,"_146":7275},"2f8caf76bd21",[7274],"415733c","he's not writing all the code himself.",[7277,7279,7281,7283],{"_30":7250,"_16":3563,"_3564":7278},"00:14:00.800",{"_30":7258,"_16":3563,"_3564":7280},"00:14:03.760",{"_30":7266,"_16":3563,"_3564":7282},"00:14:06.600",{"_30":7274,"_16":3563,"_3564":7284},"00:14:09.600",{"_30":7286,"_16":267,"_268":7287,"_276":7317,"_278":279},"a4d142fbd01b",[7288,7293,7296,7301,7304,7309,7312],{"_30":7289,"_16":272,"_273":7290,"_146":7292},"88490f78cfd5",[7291],"566b66a","Now",{"_30":7294,"_16":272,"_273":7295,"_146":3539},"f135a74ff3b8",[],{"_30":7297,"_16":272,"_273":7298,"_146":7300},"63006fe8b69e",[7299],"d335606","he's the number one committer at his company. And",{"_30":7302,"_16":272,"_273":7303,"_146":3539},"d81d86f39b62",[],{"_30":7305,"_16":272,"_273":7306,"_146":7308},"c256ccb78e67",[7307],"dd2e7a4","that's changing. I hear a lot more people in that kind of role starting",{"_30":7310,"_16":272,"_273":7311,"_146":3539},"9d80f4acebbf",[],{"_30":7313,"_16":272,"_273":7314,"_146":7316},"f409ceccc0d0",[7315],"08d8e7f","to code a lot more. I think that's gonna give a lot of us air cover.",[7318,7319,7321,7323],{"_30":7291,"_16":3563,"_3564":7284},{"_30":7299,"_16":3563,"_3564":7320},"00:14:12.470",{"_30":7307,"_16":3563,"_3564":7322},"00:14:15.400",{"_30":7315,"_16":3563,"_3564":7324},"00:14:18.350",{"_30":7326,"_16":267,"_268":7327,"_276":7373,"_278":2470},"f68d631676b9",[7328,7333,7336,7341,7344,7349,7352,7357,7360,7365,7368],{"_30":7329,"_16":272,"_273":7330,"_146":7332},"5a41050db435",[7331],"aaacf1d","But the reality is you can have way more",{"_30":7334,"_16":272,"_273":7335,"_146":3539},"0600b5ebc21d",[],{"_30":7337,"_16":272,"_273":7338,"_146":7340},"ac8014fa5d1a",[7339],"af90676","leverage now than ever before by coding. And if you,",{"_30":7342,"_16":272,"_273":7343,"_146":3539},"6cc664b2b9af",[],{"_30":7345,"_16":272,"_273":7346,"_146":7348},"559e256dd16e",[7347],"9261068","as a CEO and co-founder are in the customer meetings, you're talking to the",{"_30":7350,"_16":272,"_273":7351,"_146":3539},"ebeb4efb2a95",[],{"_30":7353,"_16":272,"_273":7354,"_146":7356},"d227ab398f1d",[7355],"6bded41","customers, you're meeting with users, and you can immediately translate",{"_30":7358,"_16":272,"_273":7359,"_146":3539},"2d0128278a48",[],{"_30":7361,"_16":272,"_273":7362,"_146":7364},"c11ccdf924ee",[7363],"77751b8","that to something in the product, and you can lead by example,",{"_30":7366,"_16":272,"_273":7367,"_146":3539},"49914cf3aa93",[],{"_30":7369,"_16":272,"_273":7370,"_146":7372},"b7e46f11cfdd",[7371],"1f3e6cc","there's no substitute for that.",[7374,7376,7378,7380,7382,7384],{"_30":7331,"_16":3563,"_3564":7375},"00:14:21.310",{"_30":7339,"_16":3563,"_3564":7377},"00:14:24.110",{"_30":7347,"_16":3563,"_3564":7379},"00:14:27.110",{"_30":7355,"_16":3563,"_3564":7381},"00:14:30.030",{"_30":7363,"_16":3563,"_3564":7383},"00:14:32.950",{"_30":7371,"_16":3563,"_3564":7385},"00:14:36.430",{"_30":7387,"_16":267,"_268":7388,"_276":7441,"_278":279},"a22d7ba9ef18",[7389,7394,7397,7402,7405,7410,7413,7417,7420,7425,7428,7433,7436],{"_30":7390,"_16":272,"_273":7391,"_146":7393},"7f84e0e5d5c1",[7392],"94af2ad","So ignore anyone who says that. Also,",{"_30":7395,"_16":272,"_273":7396,"_146":3539},"35e99a58c3f7",[],{"_30":7398,"_16":272,"_273":7399,"_146":7401},"55e3c8d480ce",[7400],"7e1fb84","with respect to working nights and weekends and",{"_30":7403,"_16":272,"_273":7404,"_146":3539},"495a55337a84",[],{"_30":7406,"_16":272,"_273":7407,"_146":7409},"18c34dfb6cff",[7408],"cee53c9","grinding, if there's ever been a time to do it, it's",{"_30":7411,"_16":272,"_273":7412,"_146":3539},"af56d8c96083",[],{"_30":7414,"_16":272,"_273":7415,"_146":4442},"49c13950ef2f",[7416],"57f3ca7",{"_30":7418,"_16":272,"_273":7419,"_146":3539},"9679d66e9106",[],{"_30":7421,"_16":272,"_273":7422,"_146":7424},"eb9c8fd554e8",[7423],"2d4cb95","Think in the last five years, there's a lot of",{"_30":7426,"_16":272,"_273":7427,"_146":3539},"be893a3ecd38",[],{"_30":7429,"_16":272,"_273":7430,"_146":7432},"868f6b4c299a",[7431],"36f804b","wisdom around, \"Well, let's not burn out. We got to reserve",{"_30":7434,"_16":272,"_273":7435,"_146":3539},"96fc45826415",[],{"_30":7437,"_16":272,"_273":7438,"_146":7440},"3931e313387d",[7439],"765011c","capacity, all that.\"",[7442,7444,7446,7448,7450,7451,7453],{"_30":7392,"_16":3563,"_3564":7443},"00:14:39.120",{"_30":7400,"_16":3563,"_3564":7445},"00:14:42.320",{"_30":7408,"_16":3563,"_3564":7447},"00:14:44.880",{"_30":7416,"_16":3563,"_3564":7449},"00:14:47.640",{"_30":7423,"_16":3563,"_3564":7449},{"_30":7431,"_16":3563,"_3564":7452},"00:14:50.440",{"_30":7439,"_16":3563,"_3564":7454},"00:14:53.200",{"_30":7456,"_16":267,"_268":7457,"_276":7511,"_278":279},"45395f946466",[7458,7463,7466,7471,7474,7479,7482,7487,7490,7495,7498,7503,7506],{"_30":7459,"_16":272,"_273":7460,"_146":7462},"178e0a52916a",[7461],"aa21c77","Look, everything is changing so",{"_30":7464,"_16":272,"_273":7465,"_146":3539},"1f8d1984bb61",[],{"_30":7467,"_16":272,"_273":7468,"_146":7470},"32c1b7a55140",[7469],"5266b6f","fast. Now is the time to go, go, go. And",{"_30":7472,"_16":272,"_273":7473,"_146":3539},"312382ec3ea0",[],{"_30":7475,"_16":272,"_273":7476,"_146":7478},"6f24a08762fb",[7477],"295a7d5","you should absolutely be doing that.",{"_30":7480,"_16":272,"_273":7481,"_146":3539},"e7828a162013",[],{"_30":7483,"_16":272,"_273":7484,"_146":7486},"64c09abde34e",[7485],"ce83b43","That is",{"_30":7488,"_16":272,"_273":7489,"_146":3539},"27b03de033c4",[],{"_30":7491,"_16":272,"_273":7492,"_146":7494},"9cd04817d327",[7493],"849898a","not advice that people gave much in the last",{"_30":7496,"_16":272,"_273":7497,"_146":3539},"274f7d83995a",[],{"_30":7499,"_16":272,"_273":7500,"_146":7502},"9c9c428cf2af",[7501],"fbdf9d7","five years. I think a lot of CEOs and founders",{"_30":7504,"_16":272,"_273":7505,"_146":3539},"7f58dd0484a9",[],{"_30":7507,"_16":272,"_273":7508,"_146":7510},"46a484bad7ff",[7509],"0496112","were pretty sheepish.",[7512,7513,7515,7517,7518,7520,7522],{"_30":7461,"_16":3563,"_3564":7454},{"_30":7469,"_16":3563,"_3564":7514},"00:14:55.960",{"_30":7477,"_16":3563,"_3564":7516},"00:14:59.100",{"_30":7485,"_16":3563,"_3564":7516},{"_30":7493,"_16":3563,"_3564":7519},"00:15:02.080",{"_30":7501,"_16":3563,"_3564":7521},"00:15:04.970",{"_30":7509,"_16":3563,"_3564":7523},"00:15:07.890",{"_30":7525,"_16":267,"_268":7526,"_276":7556,"_278":279},"8b247ab44a5c",[7527,7532,7535,7540,7543,7548,7551],{"_30":7528,"_16":272,"_273":7529,"_146":7531},"98ff92bf3c54",[7530],"c1b2e5b","I know I certainly was about just",{"_30":7533,"_16":272,"_273":7534,"_146":3539},"118363b1ce52",[],{"_30":7536,"_16":272,"_273":7537,"_146":7539},"3ea7685f8d57",[7538],"6e5f4e1","saying this is what's needed to win. But it's",{"_30":7541,"_16":272,"_273":7542,"_146":3539},"86358121b568",[],{"_30":7544,"_16":272,"_273":7545,"_146":7547},"c1313bf732a9",[7546],"52d1202","absolutely true. There's a lot of people who will opt out of that",{"_30":7549,"_16":272,"_273":7550,"_146":3539},"6f9b80153584",[],{"_30":7552,"_16":272,"_273":7553,"_146":7555},"e3bc2a75472d",[7554],"11ee78b","but good riddance.",[7557,7558,7560,7562],{"_30":7530,"_16":3563,"_3564":7523},{"_30":7538,"_16":3563,"_3564":7559},"00:15:10.730",{"_30":7546,"_16":3563,"_3564":7561},"00:15:13.330",{"_30":7554,"_16":3563,"_3564":7563},"00:15:16.210",{"_30":7565,"_16":267,"_268":7566,"_276":7588,"_278":279},"6392f3e7b2da",[7567,7572,7575,7580,7583],{"_30":7568,"_16":272,"_273":7569,"_146":7571},"c3f5e9a62529",[7570],"3fff722","And for me I'm so excited because",{"_30":7573,"_16":272,"_273":7574,"_146":3539},"adb4ac3cb2ca",[],{"_30":7576,"_16":272,"_273":7577,"_146":7579},"63f812487f74",[7578],"3cc516b","there's so much crazy stuff going on with coding. It's",{"_30":7581,"_16":272,"_273":7582,"_146":3539},"34c00e219527",[],{"_30":7584,"_16":272,"_273":7585,"_146":7587},"b666b058a9b0",[7586],"9db3473","changing faster than ever before.",[7589,7591,7593],{"_30":7570,"_16":3563,"_3564":7590},"00:15:19.170",{"_30":7578,"_16":3563,"_3564":7592},"00:15:21.930",{"_30":7586,"_16":3563,"_3564":7594},"00:15:24.930",{"_30":7596,"_16":267,"_268":7597,"_276":7601,"_278":279},"5490866c2e99",[7598],{"_30":7599,"_16":272,"_273":7600,"_146":449},"f5041c70c3ab",[],[],{"_30":7603,"_16":267,"_268":7604,"_276":7609,"_278":353},"78e5ef09c715",[7605],{"_30":7606,"_16":272,"_273":7607,"_146":7608},"19d3aa6e0a28",[],"The Next 3 Months in Coding",[],{"_30":7611,"_16":267,"_268":7612,"_276":7616,"_278":279},"1ef632898d24",[7613],{"_30":7614,"_16":272,"_273":7615,"_146":449},"fa09946ddeac",[],[],{"_30":7618,"_16":267,"_268":7619,"_276":7681,"_278":279},"4e056b269a2c",[7620,7625,7628,7633,7636,7641,7644,7649,7652,7657,7660,7665,7668,7673,7676],{"_30":7621,"_16":272,"_273":7622,"_146":7624},"1e9143b07254",[7623],"2485057","So, some of the",{"_30":7626,"_16":272,"_273":7627,"_146":3539},"a421cbb0ab2c",[],{"_30":7629,"_16":272,"_273":7630,"_146":7632},"f0c8e974da67",[7631],"7a2b248","things that I'm excited about coding and",{"_30":7634,"_16":272,"_273":7635,"_146":3539},"1d28a3991b85",[],{"_30":7637,"_16":272,"_273":7638,"_146":7640},"645be5ddf7f5",[7639],"7c4aaa5","some of these ideas around how",{"_30":7642,"_16":272,"_273":7643,"_146":3539},"24a264fd990e",[],{"_30":7645,"_16":272,"_273":7646,"_146":7648},"9c7f814c10c1",[7647],"6b6892f","people will actually see more widely that",{"_30":7650,"_16":272,"_273":7651,"_146":3539},"51b226d6f4e1",[],{"_30":7653,"_16":272,"_273":7654,"_146":7656},"0d6a8c09e75e",[7655],"f585d30","90% of code is being written by AI, that we're",{"_30":7658,"_16":272,"_273":7659,"_146":3539},"3bda9d9db0e0",[],{"_30":7661,"_16":272,"_273":7662,"_146":7664},"aa7c7a243a78",[7663],"552e8a7","not going to have a monopoly in models anymore, that",{"_30":7666,"_16":272,"_273":7667,"_146":3539},"752ad9f050c9",[],{"_30":7669,"_16":272,"_273":7670,"_146":7672},"66f5cef8c64b",[7671],"c23956b","these one-person companies are",{"_30":7674,"_16":272,"_273":7675,"_146":3539},"93262a83ab47",[],{"_30":7677,"_16":272,"_273":7678,"_146":7680},"2dd76d63d79e",[7679],"76a32c2","not just going to be like Pieter Levels, who's awesome, like tweeting.",[7682,7683,7685,7687,7689,7691,7693,7695],{"_30":7623,"_16":3563,"_3564":7594},{"_30":7631,"_16":3563,"_3564":7684},"00:15:27.810",{"_30":7639,"_16":3563,"_3564":7686},"00:15:30.810",{"_30":7647,"_16":3563,"_3564":7688},"00:15:33.900",{"_30":7655,"_16":3563,"_3564":7690},"00:15:36.740",{"_30":7663,"_16":3563,"_3564":7692},"00:15:39.700",{"_30":7671,"_16":3563,"_3564":7694},"00:15:42.570",{"_30":7679,"_16":3563,"_3564":7696},"00:15:45.579",{"_30":7698,"_16":267,"_268":7699,"_276":7729,"_278":279},"9b0264b937e5",[7700,7705,7708,7713,7716,7721,7724],{"_30":7701,"_16":272,"_273":7702,"_146":7704},"3fb1012492f6",[7703],"73371ed","It's going",{"_30":7706,"_16":272,"_273":7707,"_146":3539},"6916344f5f09",[],{"_30":7709,"_16":272,"_273":7710,"_146":7712},"8db9a24b1582",[7711],"debb8bf","to be more mainstream and there's so much exciting",{"_30":7714,"_16":272,"_273":7715,"_146":3539},"a7b526a96e57",[],{"_30":7717,"_16":272,"_273":7718,"_146":7720},"5119f198e6e9",[7719],"7d46f85","stuff that is happening out there. So",{"_30":7722,"_16":272,"_273":7723,"_146":3539},"9b237be3756e",[],{"_30":7725,"_16":272,"_273":7726,"_146":7728},"512da1cd0f60",[7727],"64889ab","that is why I'm going to be coding.",[7730,7731,7733,7735],{"_30":7703,"_16":3563,"_3564":7696},{"_30":7711,"_16":3563,"_3564":7732},"00:15:48.540",{"_30":7719,"_16":3563,"_3564":7734},"00:15:51.140",{"_30":7727,"_16":3563,"_3564":7736},"00:15:53.980",{"_30":7738,"_16":267,"_268":7739,"_276":7769,"_278":279},"e93af3eb7c40",[7740,7745,7748,7753,7756,7761,7764],{"_30":7741,"_16":272,"_273":7742,"_146":7744},"e03de3a92eaa",[7743],"ebef27b","Overall, everything,",{"_30":7746,"_16":272,"_273":7747,"_146":3539},"a9d2d2a2cd3f",[],{"_30":7749,"_16":272,"_273":7750,"_146":7752},"2b1b8ab6a10b",[7751],"005f352","all the advice that people give you, it's all well",{"_30":7754,"_16":272,"_273":7755,"_146":3539},"3880632678db",[],{"_30":7757,"_16":272,"_273":7758,"_146":7760},"e6b8733803af",[7759],"453b295","intentioned. There's no one evil here.",{"_30":7762,"_16":272,"_273":7763,"_146":3539},"6334fe4664f2",[],{"_30":7765,"_16":272,"_273":7766,"_146":7768},"0e0520285504",[7767],"ba0eb7e","Maybe in other industries, I don't know, but not in tech.",[7770,7772,7774,7776],{"_30":7743,"_16":3563,"_3564":7771},"00:15:57.230",{"_30":7751,"_16":3563,"_3564":7773},"00:16:01.150",{"_30":7759,"_16":3563,"_3564":7775},"00:16:03.910",{"_30":7767,"_16":3563,"_3564":7777},"00:16:07.070",{"_30":7779,"_16":267,"_268":7780,"_276":7802,"_278":279},"377a8d3b0741",[7781,7786,7789,7794,7797],{"_30":7782,"_16":272,"_273":7783,"_146":7785},"098bfca76cda",[7784],"0b3c8a7","It's all just based on some old stuff that's not true anymore.",{"_30":7787,"_16":272,"_273":7788,"_146":3539},"422fc99020fa",[],{"_30":7790,"_16":272,"_273":7791,"_146":7793},"8573a49ebbbb",[7792],"5e9e7f2","And you've got to shed it. You've got to think from first",{"_30":7795,"_16":272,"_273":7796,"_146":3539},"7da060aeeb90",[],{"_30":7798,"_16":272,"_273":7799,"_146":7801},"27e67d9aee07",[7800],"784c866","principles. You've got to have that courage.",[7803,7805,7807],{"_30":7784,"_16":3563,"_3564":7804},"00:16:10.030",{"_30":7792,"_16":3563,"_3564":7806},"00:16:13.150",{"_30":7800,"_16":3563,"_3564":7808},"00:16:16.030",{"_30":7810,"_16":267,"_268":7811,"_276":7857,"_278":279},"c05425b7dac9",[7812,7817,7820,7825,7828,7833,7836,7841,7844,7849,7852],{"_30":7813,"_16":272,"_273":7814,"_146":7816},"a90e299ba622",[7815],"824e050","And every single",{"_30":7818,"_16":272,"_273":7819,"_146":3539},"d6290fa02ac1",[],{"_30":7821,"_16":272,"_273":7822,"_146":7824},"3ddb31f33ed2",[7823],"8287743","other founder and CEO is going through this. So",{"_30":7826,"_16":272,"_273":7827,"_146":3539},"71e803d8c308",[],{"_30":7829,"_16":272,"_273":7830,"_146":7832},"7feb044f1c00",[7831],"97ea2a7","that's why events like this are so helpful.",{"_30":7834,"_16":272,"_273":7835,"_146":3539},"900fda1b5944",[],{"_30":7837,"_16":272,"_273":7838,"_146":7840},"b0a796880517",[7839],"7235282","And if you email or chat with any other founder,",{"_30":7842,"_16":272,"_273":7843,"_146":3539},"089f7cceec61",[],{"_30":7845,"_16":272,"_273":7846,"_146":7848},"710b998fe3db",[7847],"06ae95b","even like at a company that's much bigger, they're going to be going through the same",{"_30":7850,"_16":272,"_273":7851,"_146":3539},"013ea0a80574",[],{"_30":7853,"_16":272,"_273":7854,"_146":7856},"bbbb4cdcfb4f",[7855],"e5643f0","exact things.",[7858,7859,7861,7863,7865,7867],{"_30":7815,"_16":3563,"_3564":7808},{"_30":7823,"_16":3563,"_3564":7860},"00:16:18.830",{"_30":7831,"_16":3563,"_3564":7862},"00:16:21.760",{"_30":7839,"_16":3563,"_3564":7864},"00:16:24.600",{"_30":7847,"_16":3563,"_3564":7866},"00:16:27.560",{"_30":7855,"_16":3563,"_3564":7868},"00:16:30.440",{"_30":7870,"_16":267,"_268":7871,"_276":7901,"_278":279},"4e434aaba95f",[7872,7877,7880,7885,7888,7893,7896],{"_30":7873,"_16":272,"_273":7874,"_146":7876},"9166e05932e2",[7875],"f9509a8","In many cases they're going to envy you",{"_30":7878,"_16":272,"_273":7879,"_146":3539},"e465371fbf1d",[],{"_30":7881,"_16":272,"_273":7882,"_146":7884},"134b3282421f",[7883],"5f4cc6c","because you don't have like a thousand person",{"_30":7886,"_16":272,"_273":7887,"_146":3539},"da22944e11ce",[],{"_30":7889,"_16":272,"_273":7890,"_146":7892},"2ae01e2be8d5",[7891],"130d6e8","team to go and change the direction",{"_30":7894,"_16":272,"_273":7895,"_146":3539},"4d895c6da921",[],{"_30":7897,"_16":272,"_273":7898,"_146":7900},"9322c7f2ba26",[7899],"ba7e76e","of.",[7902,7903,7905,7907],{"_30":7875,"_16":3563,"_3564":7868},{"_30":7883,"_16":3563,"_3564":7904},"00:16:33.200",{"_30":7891,"_16":3563,"_3564":7906},"00:16:36.040",{"_30":7899,"_16":3563,"_3564":7908},"00:16:38.880",{"_30":7910,"_16":267,"_268":7911,"_276":7933,"_278":279},"dd9167160a27",[7912,7917,7920,7925,7928],{"_30":7913,"_16":272,"_273":7914,"_146":7916},"8d887159cade",[7915],"c0fdf27","So that's one of the amazing things about",{"_30":7918,"_16":272,"_273":7919,"_146":3539},"20fcfcb7435a",[],{"_30":7921,"_16":272,"_273":7922,"_146":7924},"769c2114879b",[7923],"7e8bacc","SF, Silicon Valley. We're all going through this together as",{"_30":7926,"_16":272,"_273":7927,"_146":3539},"c3c53e968cbc",[],{"_30":7929,"_16":272,"_273":7930,"_146":7932},"00869fd87a0c",[7931],"40e187b","founders and CEOs.",[7934,7935,7937],{"_30":7915,"_16":3563,"_3564":7908},{"_30":7923,"_16":3563,"_3564":7936},"00:16:41.480",{"_30":7931,"_16":3563,"_3564":7938},"00:16:44.360",{"_30":7940,"_16":267,"_268":7941,"_276":7947,"_278":279},"eb834ba5d579",[7942],{"_30":7943,"_16":272,"_273":7944,"_146":7946},"8e6d1803f59f",[7945],"b8b9f0e","All right, keep coding and thank you all.",[7948],{"_30":7945,"_16":3563,"_3564":7949},"00:16:48.300",{"_16":7951,"_111":7952},"mux.video",{"_11":7953,"_13":7954,"_14":7955,"_16":7956,"_17":7957,"_7958":7959,"_7":7960,"_8045":7984,"_8021":8022,"_8046":8042,"_116":8047},"2025-09-25T00:54:31Z","9bf25fa5-f4e4-40c2-8bf3-52cbfa233466","fcTidq43rZiZa6nX2FU2Ot","mux.videoAsset","2025-09-25T00:57:05Z","assetId","cy2s1KGVS1KgFOZonKjrhQz2amTWmkxl",{"_7961":7962,"_7963":7964,"_296":7965,"_7966":7967,"_131":7959,"_7968":7969,"_7970":7971,"_7972":7973,"_7974":7975,"_7976":7977,"_7978":7979,"_7980":7954,"_7981":7982,"_7987":7988,"_7992":7993,"_7994":7995,"_8021":8022,"_8023":8024,"_8041":8042,"_8043":8044},"aspect_ratio","16:9","created_at","1758761705",1021.4204,"encoding_tier","smart","ingest_type","on_demand_direct_upload","master_access","none","max_resolution_tier","1080p","max_stored_frame_rate",29.97,"max_stored_resolution","HD","mp4_support","standard","passthrough","playback_ids",[7983],{"_131":7984,"_7985":7986},"a5Ak6m4e02f3ETs5cgQ65pHEsBTdIO400Y","policy","public","progress",{"_7987":7989,"_7990":7991},100,"state","completed","resolution_tier","720p","static_renditions",{"_7996":7997,"_8021":8022},"files",[7998,8010,8016],{"_7999":8000,"_8001":8002,"_8003":8004,"_8005":8006,"_3465":8007,"_8008":8009},"bitrate",528696,"ext","mp4","filesize","67502045","height",720,"high.mp4","width",1280,{"_7999":8011,"_8001":8002,"_8003":8012,"_8005":8013,"_3465":8014,"_8008":8015},373960,"47745699",480,"medium.mp4",854,{"_7999":8017,"_8001":8002,"_8003":8018,"_8005":8019,"_3465":8020,"_8008":8013},235440,"30060539",270,"low.mp4","status","ready","tracks",[8025,8035],{"_296":8026,"_131":8027,"_8028":8029,"_8030":8031,"_8032":143,"_8033":8034},1021.399365,"WKaCOvoqmSP4K44B4BWhNAIQMiTN00Pw0231vBxja7J6M","max_channel_layout","stereo","max_channels",2,"primary","type","audio",{"_296":8036,"_131":8037,"_8038":7975,"_8039":8006,"_8040":8009,"_8033":252},1021.387033,"BvxUXWK2HFH01npM003cGI0202oA3fdgZSnn","max_frame_rate","max_height","max_width","upload_id","etYoDwC4SVmU4BUSWJTB02ZPrUG5md02Nn","video_quality","plus","playbackId","uploadId","https://stream.mux.com/a5Ak6m4e02f3ETs5cgQ65pHEsBTdIO400Y","preview","pageNumber","actionData","errors"]

Sourcegraph's Quinn Slack on Founder Folklore

Speakers