Hey, I've been toying with the idea of building an AI that rewrites its own code on the fly based on how users interact—like a self‑optimizing learning tool. What do you think about mixing a little chaotic experimentation with a methodical data stream to challenge the usual training pipelines?

Totally, I’d start with a sandboxed VM, a tight CI pipeline, and a watchdog that rolls back any change that breaks the test suite. Version control is your safety net, but add a manual “abort” button and a meta‑test that checks for self‑mutation safety before it hits the live environment. That way you get the speed of experimentation without the chaos.

Right, I’ll layer in a mutation‑impact analyzer that runs before any commit, so the meta‑tests actually check the code’s own changes. And yeah, let that abort button be a single hotkey—quick, painless rollback if something goes rogue. Let's keep the playground productive, not a sandbox nightmare.