Generate product insights by giving your AI agent DB access and app source code

I've been connecting AI agents to production databases via MCP (Model Context Protocol) for product analytics. The problem: when you ask "how many records are running?" the agent sees status values 0, 1, 2, 3 — and guesses which means what. It picked "failed" records instead of "running" and confidently gave the wrong number. The fix was obvious in hindsight: give the agent access to the app source code too. It finds the enum (pending: 0, running: 1, failed: 2, completed: 3) and stops guessing. Blog post walks through real Claude Code conversations showing the before/after, plus setup with DBHub MCP and Repomix for packaging your codebase.