Welcome

I have been coding with AI agents almost every day for a year now. Today, I delegate about 99% of my coding work to Claude Code. I’ve tried many different practices along the way — some worked great, some didn’t work at all.

This playbook is where I share what actually stuck. The patterns I use every day, how my workflow evolved over time, and the things I wish someone had told me earlier.

A bit about me

I’m a software engineer and consultant. Beyond my own projects, I coach teams on AI coding adoption — helping them go from “trying Copilot sometimes” to building real features with agents. This playbook is essentially the same material I use with my clients, just written down.

I’m not claiming to have all the answers. AI coding is moving fast and we’re all figuring it out. But after a year of daily practice, I’ve developed habits and patterns that consistently produce good results. That’s what I want to share here.

What’s in this playbook

• Core Concepts — How I manage context windows, structure my sessions, and prompt effectively. The fundamentals that make everything else work.
• Feedback Loop — The guardrails I set up for every project — builds, linters, code review agents, tests. This is what keeps AI-generated code on the rails.
• Orchestration — How I coordinate multiple agents, split work across swarms, and think about team structure for AI-assisted development.

Each page covers one topic with practical examples you can apply right away. Read in order or jump to whatever interests you.

Your feedback is welcome

I want these articles to be easy to read and genuinely useful for your productivity. If you have ideas for topics, improvements, or just want to share your experience — drop me a message. I’d love to hear from you.