DevToolsDigest: Issue #306
This week's digest includes news and resources from IT Revolution, Bloomberg, and more.
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Heavybit's DevToolsDigest is a weekly curated selection of the best resources, product updates, jobs, and discussions in the developer tools industry.
The Week in Developer Tools
The Rise of Small Language Models to Cut AI Costs
For years, the likes of Google and OpenAI have been racing to build ever bigger and costlier AI models using a tremendous amount of online data - think chatbots like ChatGPT, which can handle a wide range of complex queries. But some startups are now betting on a different strategy: small language models, automating a more limited set of day-to-day corporate tasks without requiring as much data.
Investing in AI For AI’s Sake
In this interview, Tamar Yehoshua chats with LaunchDarkly CPO Claire Vo. Claire is gung-ho about AI—spearheading new AI tools at LaunchDarkly and spinning out her own AI product, ChatPRD. They discuss the importance of investing in AI, normalizing the use of AI, and her approach to driving behavior change to get people to use AI tools.
Industry Research
Stop Inventing Product Problems; Start Solving Customer Problems
Product teams don’t realize they’re making this mistake because it’s baked into the stories-and-features way that PMs are trained to approach problems. The majority of time designers spend on product teams is dedicated to solving tool problems rather than goal problems — how to make a feature more usable, or how to add more options and settings.
DevOps Enablement with GenAI
This paper, published in the Fall 2024 Enterprise Technology Leadership Journal, explores the transformative potential of generative AI tools in DevOps and software development. The authors examine the benefits, concerns, costs, and best practices for successfully implementing GenAI-powered tools within engineering teams.
What It Really Takes to Train an Entire Workforce on GenAI
Companies with hundreds or thousands of employees across a range of functions have their work cut out for them in the upskilling race. Training a large workforce on generative artificial intelligence is an even bigger lift given the technology’s novelty, but organizations are tackling it nonetheless — in part for the company’s efficiency and innovation, but also for the long-term success of their employees.