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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Generationship Ep. #41, Covenant with Suzanne EL-Moursi
In episode 41 of Generationship, Brighthive CEO Suzanne EL-Moursi joins Rachel Chalmers to unpack the “three-layer cake” 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...
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 LLM Guardrails Reduce AI Risk in Software Development
How LLM Guardrails Minimize the Risks of AI in Software Development Integrating Language Learning Models (LLMs) into software...
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...
How to Successfully Fork an Open-Source Project
Why is Heavybit writing a startup guide to forking open-source projects? Because while open source has been an incredible boon to...
Enterprise AI Infrastructure: Compliance, Risks, Adoption
How Enterprise AI Infrastructure Must Balance Change Management vs. Risk Aversion 50%-60% of enterprises reportedly “use” AI,...
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...
Regulation & Copyrights: Do They Work for AI & Open Source?
Emerging Questions in Global Regulation for AI and Open Source The 46th President of the United States issued an executive order...
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 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...
Data Privacy, Security, and Identity in the Age of GenAI
What Generative AI Means for Privacy, Security, and Identity Generative AI’s potential impact on software development as a...