The AI Guide for Developers

AI changed how I work as a developer. Today, right now, most of my code is written with an AI agent sitting next to me.

This page is your map to the AI content on the site. It’s a growing collection: I write about AI agents, the frameworks used to build them, and the practical workflows I use every day.

My advice is to learn AI by using it, not just reading about it. Pick a coding agent, give it a real task, and see where it breaks. That’s how you learn what these tools can and cannot do.

Where to start

Start with the practical side, how AI fits into a real workflow:

1. fstack, the simple stack is my collection of simple agent skills, and a good look at how I think about working with agents
2. How I log every Git commit to a plain text file shows how I give agents context about my recent work
3. How I use the same Git work log with Codex and ChatGPT extends that setup across different AI tools
4. How to use Cursor Projects is a practical Cursor workflow for longer-lived agent work

Building AI agents

Once you’ve used agents, you’ll want to understand how they’re built. These posts look at the frameworks powering them:

• Flue: the open framework for building AI agents
• Vercel eve: an open framework for building AI agents
• Executor: one gateway to connect your AI agent to every tool

Go deeper

If you want to learn this hands-on with me, check out the AI Workshop, my workshop on using AI as a developer.

You can find every AI post on the ai tag page.

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