Generating technical documentation from a codebase is easy now. Trusting it isn't. Evidence-linked claims and human sign-off are the missing steps.
Comprehension debt finally has a name. The popular cure — write more docs — inherits the gap it's meant to close. What actually pays it down.
LangChain OpenWiki validates repo documentation for coding agents. But repo orientation is not the same as evidence-graded product understanding.
You own a product you can't explain — acquired, inherited, or vibe-coded with AI. Here's how to read code you didn't really write, behavior by behavior.
Engineers now make product calls, and the reasoning ends up in Slack threads and PR comments. Here is where to put it so the next person can find it.
AI agents have AGENTS.md, memory banks, harnesses, and monitors. They still lack the product context layer — what the product promises and what must hold.
When an outsourcing engagement wraps up, product knowledge walks out the door. A living behavior spec keeps it in the codebase — not in someone's head.
AI can extract product logic from your codebase. Stewie builds a living behavior spec your whole team can read — no code, no docs, no waiting on engineers.
Product owners confirm behaviors. BAs clarify logic. QA knows what to protect. New hires onboard fast. Vendors skip reverse-engineering. One shared contract.
Leaders shouldn't need three meetings to verify whether a product decision was implemented correctly. A living behavior spec is the direct line.
