The trick to AI coding memory isn't a bigger instruction file — it's smaller, layered knoledge

Something I see constantly is people trying to solve the "my AI forgets everything" problem by making their instruction file bigger. 500 lines, 1,000 lines, 2,000 lines of CLAUDE.md (or .cursorrules, or whatever your tool uses). It doesn't work. Research backs this up — AI accuracy drops when context gets too long, and instructions in the middle of large files get ignored entirely. You end up with a bloated file that eats your context window before you've even asked a question. What actually works is the opposite: small, targeted files loaded only when relevant. After about 1,500+ sessions across 60+ projects, here's the structure I settled on: Tier 1 — Constitution (~200 lines, always loaded) Your standing orders. Preferences, hard rules, and a routing table pointing to everything else. "Always use TypeScript strict mode." "Never mock the database in tests." That's it. If your global file is over 200 lines, you're putting things in the wrong place. Tier 2 — Living Memory (~50 lines, a