The Technically Library

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.

How developers decide which *type* of infrastructure to use, and which (usually giant) cloud provider to buy it from.

A breakdown of how open source licensing changed, and why it matters now.

All about "reasoning" language models like OpenAI's o3 and Deepseek's R1.

An intro to how companies like Elastic, MongoDB, Snowflake, Confluent and AWS compete.

How Browserbase built their viral demo of Open Operator (in 24 hrs!) using Vercel's v0 and the AI SDK.

Making the internet look pretty since 1996.

A deep dive into how models like ChatGPT get built.

Today more than ever, being more technical as a marketer will help you understand what’s going on under the hood, become more self-sufficient, and ultimately just move faster.