Newsletter Archive

A beginner’s guide to AI model architectures, why open source licenses aren’t as simple as “free to use,” the evolving role of product documentation, and what Databricks is really building.

Or perhaps more accurately: what does Databricks NOT do?

Why sometimes, you need to tell people how to do things

MIT, GPL, MPL, and SSPL, oh my!!

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

Why GPUs are a great fit for AI, how generative models actually work, and how JavaScript became the most popular programming language in the world.

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.

How AI models “think” and “reason”, why code takes so long to ship, how developers choose cloud infrastructure, and more.

Why code reviews take so long, how Al tools like CodeRabbit are speeding them up, and what great teams do to ensure clean code.

How AI can use websites, why Databricks acquired Neon, how AI engineers choose a database, Technically for financiers, and more.

All about their recent $1bn acquisition of Neon

A realistic look at the three letters that have taken over the internet.

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

Notes on this new MCP thing, Databricks vs Snowflake, new posts on CSS, AI model training, how marketers can get more technical, and updates to all 16 public company breakdowns on Technically.