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...
2024: DevTool Industry Year in Review
New year, new...hype cycle? The last 12 months have been marked by coding assistants becoming more relevant, record-breaking...
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...
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...
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...
How to Start an Open-Source Project
How to Start an Open-Source Project Why is Heavybit posting a first-principles guide on how to create an open-source project?...
The Power User’s Guide to Open-Source Licenses
Licensing: A Key Trade-Off for Open Source Startups Why is Heavybit putting together this guide for open-source startup founders...
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...
How Startup Founders Should Think About Local-First Dev
What Local-First Dev Means for Startup Founders If you’re a startup founder, you’re always looking for some kind of edge–a way...
Navigating Markets in Open Source As Your Startup Matures
What to Consider About Market Forces in Open Source Why is Heavybit posting this extensive interview about how to navigate...
Enterprise AI Infrastructure: Compliance, Risks, Adoption
How Enterprise AI Infrastructure Must Balance Change Management vs. Risk Aversion 50%-60% of enterprises reportedly “use” AI,...
The Data Pipeline is the New Secret Sauce
Why Data Pipelines and Inference Are AI Infrastructure’s Biggest Challenges While there’s still great excitement around AI and...