In my previous post I summarized Anthropic's AI-Native SDLC Playbook , which explains how to redesign the software lifecycle once AI agents can write code faster than your process can absorb it. This post is the practical follow-up: how to actually apply it to a web development project, step by step , with files you can copy into your own repo. Throughout this post I'll use one running example: a Next.js + TypeScript e-commerce app that needs a new "Wishlist" feature. The same steps work for React + Node, Vue, Laravel, Django, or any other web stack. Only the commands change. The workflow at a glance Each stage ends by committing a file, and the next stage starts by reading it: Plan → docs/intent/wishlist.md (what and why) Design → docs/specs/wishlist.md (how) Build → code + tests (guided by CLAUDE.md and Skills) Test → passing tests + CI evals Deploy → PR with AI review findings → human approval → CI/CD Maintain...
In my previous post I summarized Anthropic's AI-Native SDLC Playbook , which explains how to redesign the software lifecycle once AI agents can write code faster than your process can absorb it. This post is the practical follow-up: how to actually apply it to a web development project, step by step , with files you can copy into your own repo. Throughout this post I'll use one running example: a Next.js + TypeScript e-commerce app that needs a new "Wishlist" feature. The same steps work for React + Node, Vue, Laravel, Django, or any other web stack. Only the commands change. The workflow at a glance Each stage ends by committing a file, and the next stage starts by reading it: Plan → docs/intent/wishlist.md (what and why) Design → docs/specs/wishlist.md (how) Build → code + tests (guided by CLAUDE.md and Skills) Test → passing tests + CI evals Deploy → PR with AI review findings → human approval → CI/CD Maintain...