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All in AI explores how artificial intelligence is reshaping the way we work, learn, create, parent, and live. We publish practical guides, enterprise insights, and human-centered reflections to help people understand and use AI wisely.

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Beyond CLAUDE.md: The 4 Files Anthropic Uses to Build an AI-Native SDLC

15 min readSep 29, 2026

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Photo by Evie S. on Unsplash

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You ask Claude for a feature. It writes the code, the tests pass, and it looks done. Then you notice it’s quietly doing the wrong thing.

Most of us try to fix that with CLAUDE.md. It tells Claude how the project works. It doesn’t tell Claude what you want to build, or how to check it got there.

Anthropic’s answer is a playbook on how its own teams build software with Claude: the AI-native software development lifecycle. It covers each step, from planning to testing to review, and every step leaves something behind that the next one reads. For a single feature, it comes down to four files: intent.md, spec.md, plan.md and REVIEW.md.

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Diagram by the author: Each step hands something on: intent.md, spec.md, plan.md, code and tests, then a review. Deploy and maintain are for services.

I tested it on a real feature in the tool I use for research. It’s two small Python scripts. One runs on a schedule and collects posts from AI builders into an archive. The other, window.py…

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Yanli Liu
Yanli Liu

Written by Yanli Liu

Daytime finance practitioner based in Luxembourg, seasoned coder, and passionate about anything AI-related!

All in AI
All in AI

Published in All in AI

All in AI explores how artificial intelligence is reshaping the way we work, learn, create, parent, and live. We publish practical guides, enterprise insights, and human-centered reflections to help people understand and use AI wisely.