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Learn to build with AI — from everyday life to production.
I share what I learn building with AI — from experiments that automate personal life with Claude Cowork to agentic development. Real trade-offs and open source for you to apply, whether in your routine or at your company. The goal is to help you build better — who writes it is a by-product, not the point.
Technical writing with explicit trade-offs · videos embedded in the text
The first post. Why this space exists, and what I'm promising you — the honest version of a mid-career transition into AI Engineering.
What you'll walk away withwhat this space is, and the four promises behind it.
Open source for you to study, clone and use. It grows as automations graduate.
This site — a static React/Vite SPA, built in an agent-first loop with Claude Code.
A static SPA (no backend) served from S3 + CloudFront and provisioned with Terraform. Delivery is plan-first, with blocking CI gates and deploy on merge. The repo is the source of truth.
What you take awaywhere to start reading the repo, and what to reuse: the ADRs record the load-bearing decisions, from plan-first to deploy — with the trade-off each one cost.