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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The Future of Software Documentation in the Age of AI
As AI becomes more of a reality in software development, teams are experimenting with a variety of use cases, including...
O11ycast Ep. #85, AI/LLM in Software Teams: What’s Working and What’s Next with Dr. Cat Hicks
In episode 85 of o11ycast, Dr. Cat Hicks unpacks AI’s impact on software teams from a psychological and social-science...
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 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...
Platform Builders Ep. #12, Earn Respect, Not Headlines with Mike Boufford
In episode 12 of Platform Builders, Christine and Isaac chat with Mike Boufford, CEO of Otti and former CTO of Greenhouse. Mike...
RAG vs. Fine-Tuning: What Dev Teams Need to Know
RAG vs. Fine-Tuning: Advantages and Disadvantages In the rapidly evolving world of artificial intelligence, the ability of...
How to Properly Scope and Evolve Data Pipelines
For Data Pipelines, Planning Matters. So Does Evolution. A data pipeline is a set of processes that extracts, transforms, and...
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...
How AI Is Reshaping Enterprise Infrastructure
At Heavybit, we invest in enterprise infrastructure. This is an evolution from our early days as developer tools specialists, but...
Best Practices for Developing Data Pipelines in Regulated Spaces
How to Think About Data Pipelines in Regulated Spaces Tech teams standing up new AI programs, or scaling existing programs, need...
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 Create Data Pipelines
How to Create Data Pipelines Introduction to Data Pipelines In today’s data-driven world developers and product managers rely...