The Technically Library

All about AI evals, plus how Braintrust helps companies build better AI apps.

Things you should know as a vibe coder that will make your app actually work / not die.

How Vercel went from deploying apps to redefining how we build them.

How computers learn patterns from data: the foundation for everything from stock price prediction to ChatGPT.

How bigger models, more data, and more compute keep beating clever tricks.

How FastMCP makes it easy to ship an MCP server.

AI models inherently make stuff up. What can we do about it?

What we should really be asking is “What does Databricks not do?”

How companies like Stripe win by writing better product docs, and where platforms like GitBook can help.

Unlike an onion, hopefully these neural network layers won't make you cry.

A refresher on how models like ChatGPT and Stable Diffusion work under the hood.

From humble origins to the most popular programming language in the world.

Why these chips pair perfectly with AI, and how NVIDIA became the most valuable company in the world.

The new way of connecting AI models to your tools and data. Is it real, or a passing hype train?

A deep dive into why code reviews take so long, how AI tools like CodeRabbit are speeding them up, and what great teams do to ensure clean code.