Agents

I published six articles this week. One about PostgreSQL. Another about AI agents. Another on context management. A tutorial on automation. An analysis of debugging. And an adversarial advice framework for evaluating MVPs. It wasn’t planned. Each article came from a paper, a talk, or a project that I found interesting individually. But looking at them together, there’s a common thread I hadn’t noticed while writing them. All six are saying the same thing. ...

The first time I used Claude Code to refactor an entire module, it felt almost mystical. I described what I wanted, went to grab a coffee, and when I came back, there was a pull request with 14 files changed, updated tests, and a decent commit message. “This is magic,” I thought. It’s not magic. It’s a while loop. Michael Bolin from OpenAI recently published an article dissecting the internals of Codex CLI. And it turns out that the secret behind AI coding agents isn’t a groundbreaking algorithm or an enigmatic neural network. It’s a loop that calls an LLM, executes tools, and repeats until there’s nothing left to do. ...

A space lobster on your computer Imagine an Austrian developer creates a personal AI assistant, names it after a space lobster, and decides to open-source it. Within 24 hours it has 9,000 GitHub stars. Within 48 hours, 17,000. It also has 300+ open issues, several of them critical security vulnerabilities, and someone has created an unofficial cryptocurrency with its name. Welcome to Clawdbot. What exactly is this? Clawdbot is an open source AI assistant that runs locally on your machine. The difference from other assistants: it doesn’t just answer questions, it does things. ...