Learning loops that
calibrate to you.

You correct Claude's mistakes. It apologizes. Next session, same mistakes. The corrections don't persist because Claude has no mechanism to learn from feedback across sessions. Every session is a fresh start with the same blind spots.

Dev10x's skill audit runs after each session, extracting lessons learned and updating skill definitions. Memory maintenance detects stale patterns and anti-patterns. Playbook drift detection catches when plugin upgrades change defaults. The system calibrates to you over time — each session is better than the last.

"Don't do that." "Sorry, I'll avoid that." Next session: does it again. You've corrected the same mistake a dozen times across a dozen sessions. Claude doesn't learn — it apologizes. The politest amnesia you've ever encountered. At some point you realize the corrections are for you, not for it. You're the one adapting to the AI's limitations.

Dev10x's skill audit extracts lessons after each session and updates skill definitions. Memory maintenance detects stale patterns. Playbook drift detection catches when plugin upgrades change defaults. The system actually calibrates to you over time. Each session is measurably better than the last. Novel concept for AI tooling, apparently.