The Heavybit Library
The Heavybit Library is an extensive catalog of educational content featuring hundreds of hours of expert presentations, insightful podcasts, and articles focused on helping technical founders achieve breakout success.
Browse
How to Think About Positioning for Open Source
Positioning Open Source for Your Community (and Yourself) Why is Heavybit posting this extensive interview on thinking through...
The Future of AI Code Generation
AI Code Generation Is Still in Early Innings AI code generation tools are still relatively new. The first tools like OpenAI...
Machine Learning Lifecycle: Take Projects from Idea to Launch
Machine learning is the process of teaching deep learning algorithms to make predictions based on a specific dataset. ML...
AI Inference: A Guide for Founders and Developers
What Is AI Inference (And Why Should Devs Care?) AI inference is the process of machine learning models processing previously...
Understanding Business Models & Defensibility in Open Source
First-Principles Business Models Matter for Open Source A key concern for open-source startup founders is defensibility–how to...
Personal Branding for Founders
Why Personal Branding? A lot of founders I’ve spoken to, especially those of us who are technical, bristle at the idea of...
The Future of Coding in the Age of GenAI
What AI Assistants Mean for the Future of Coding If you only read the headlines, AI has already amplified software engineers...
Why We’re Talking Code Generation at DevGuild AI Summit III
How It’s Going At this time last year, AI gave rise to lofty promises to the developer community. You–the community–told us you...
Demuxed Ep. #20, Exploring Shaka Player with Joey Parrish
In episode 22 of Demuxed, Matt, Phil, and Steve reflect on the 10th Demuxed conference and welcome Joey Parrish, creator of Shaka...
Demuxed Ep. #21, Demuxed 2024 Conference Preview
In episode 21 of Demuxed, Matt, Phil, and Steve give a lively preview of Demuxed 2024, diving into what attendees can expect at...
Machine Learning Model Monitoring: What to Do In Production
Machine learning model monitoring is the process of continuously tracking and evaluating the performance of a machine learning...
Enterprise AI Infrastructure: Privacy, Maturity, Resources
Enterprise AI Infrastructure: Privacy, Economics, and Best First Steps The path to perfect AI infrastructure has yet to be...