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.
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LLM Fine-Tuning: A Guide for Engineering Teams in 2025
General-purpose large language models (LLMs) are built for broad artificial intelligence (AI) applications. The most popular...
Data Council 2025: The Data Science & Algorithms Track with Sean Taylor and Jesse Robbins
Heavybit is thrilled to be sponsoring Data Council 2025, and we invite you to join us in Oakland from Apr 22-24 to experience 3...
Generationship Ep. #4, Reimagining The Terminal with Michael Sawka of Wave Terminal
In episode 4 of Generationship, Rachel speaks with Michael Sawka of Wave Terminal (known as Command Line Inc. at the time of this...
DevRel 101 A Getting Started Guide for Early Teams
Alyss Noland is Director, Product Marketing at GitHub, where she’s focused on open source community investment and helping...
The Role of Synthetic Data in AI/ML Programs in Software
Why Synthetic Data Matters for Software Running AI in production requires a great deal of data to feed to models. Reddit is now...
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...
How to Launch an AI Startup: Lessons from GitHub Copilot
Getting 1.2M Devs to Adopt Your AI Product GitHub Copilot is one of the most talked-about AI coding assistants on the market. As...
Content and SEO in the Early Days: A Founder’s Guide to Blogging
Does your company’s site have a blog yet? If so, what do people see when they visit? Nothing? A single blog post announcing that...
Data Council 2025: The Foundation Models Track with Dr. Bryan Bischof and Tom Drummond
Heavybit is thrilled to be sponsoring Data Council 2025, and we invite you to join us in Oakland from Apr 22-24 to experience 3...
MLOps vs. Eng: Misaligned Incentives and Failure to Launch?
Failure to Launch: The Challenges of Getting ML Models into Prod Machine learning is a subset of AI–the practice of using...
What Is Product Engineering? (And Why Does It Matter?)
One of the many trends among high-growth companies in the last five years has been the emergence of an entirely new role, or...
Project Management for Open Source Projects
2019 was an amazing year for the open source community. More and more companies are not only relying on the work of the open...