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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How Local-First Development Is Changing How We Make Software
What Local First Is, and Why It Matters Local-first development is a development ethos that keeps data and code on your device...
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...
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...
Technical & Cultural Learnings from 10 Years of Computing
What the Software Community Has Learned from 10 Years in Tech Amara’s Law states, “We tend to overestimate the effect of a...
How to Make Open-Source & Local LLMs Work in Practice
How to Get Open-Source LLMs Running Locally Heavybit has partnered with GenLab and the MLOps Community, which gathers thousands...
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 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...
A Guide to SEO in the Age of AI, Plus Modern Best Practices
How Will Generative AI Change SEO as We Know It? Search engine optimization, the art of optimizing your startup’s website and...
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 Kubelist Podcast Ep. #43, SpinKube with Kate Goldenring of Fermyon
In episode 43 of The Kubelist Podcast, Kate Goldenring shares her journey from Microsoft, where she contributed to Kubernetes...
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...
Generationship Ep. #1, Building Future Infrastructure Sustainably with Catharine Strauss
Generationship is a podcast exploring the intersection of infrastructure and artificial intelligence through a technical and...