The real unlock here isnt the multi-agent orchestration, its the standards layer. Every team ive seen try to scale AI coding hits the same wall: Claude is brilliant until it isnt, and it isnt brilliant when it doesnt know your patterns. A single CLAUDE.md ages fast and never captures the insitutional stuff that lives in senior engineers heads. The 15 minute intervew to generate repo standards is the part id want to stress-test. Thats the moat, if it holds up. How does it handle standars drift as the codebase evolves? Does the agent actively flag when new PRs diverge from documented patters, or is it purely generation-side?