So, I gave my coding agent direct database access...

I've been connecting my coding agent to everything: Datadog logs, Linear, Slack. But, still get bottlenecked at the database. I'll be debugging. The LLM can read the stack trace, make a ticket, scan the codebase, but can't introspect the database. So I can't prove what happened in the data. At some point I hacked together a repo on my laptop. It generated SQL and talked to the database for me. And it worked better than I expected. But, It also made me nervous. Credentials sitting around, no real story for who could run what, no audit trail I could point at if something went sideways. I kept using it for a week and felt worse about it each day. I wanted the same speed without the part where I pretend that's fine. So I ended up with something I think is pretty cool. I call it querybear. It's a wrapper around my databse to make it AI agent friendly. It adds read-only access, row-level permissions, timeout enforcement, rate limiting, audit trails, schema introspection, and memory with long