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Why I Built a SQLite Brain for AI Coding (and How It Saves 70-90% Tokens)

DEV Community
HIMANSHU LOHANI

The Problem Nobody Talks About AI coding tools are incredible for the first 30 minutes. Then quality drops. By the time you're on your 5th file edit, Claude is: Forgetting your project conventions Breaking imports it created 10 minutes ago Re-asking questions you already answered Producing increasingly generic, copy-paste code This is context rot — as the context window fills with file reads, error I built ShipFast — a framework that npm i -g @shipfast-ai/shipfast Then in your AI tool: /sf-do add dark mode toggle Behind the scenes: Analyze — intent detection, complexity scoring (zero tokens) Optimize — selects which agents to skip based on brain.db learnings Plan — Scout researches, Architect creates task list (fresh context) Execute — Builder implements each task in a separate fresh context Verify — Critic reviews, consumer check, stub scan, build verify Learn — Records decisions + patterns for next time Session Without ShipFast With ShipFast 1st time ~100K tokens ~30K (70% saved) 2nd time ~100K tokens ~15K (85% saved) 3rd time ~100K tokens ~5K (95% saved) The brain gets smarter every session...