Building the Playground: How to Prep Your Codebase for AI Coders
SMRTR summary
A frontend engineer shares how they transformed a 300k-line TypeScript codebase into an AI-friendly repo by eliminating over 1,000 `any` types and building a self-healing code quality loop. The system combines ESLint rules, skills/docs, automated PR checklists, and AI-powered compliance reviews to keep non-engineers and AI agents producing consistently clean, mergeable code.
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