I Built a Closed-Loop Self-Healing System for My AI Config — By Accident

Short summary

The author built a self-healing feedback loop for AI config rules using three files: a measurement script counting rule compliance, persistent memory for unresolved issues, and startup rules that surface problems. This pattern—borrowed from Prometheus alerts, TDD, and CI—auto-resolves when rules are fixed, requiring no manual dashboards. Three properties enable it: mechanical measurement, session-persistent memory, and automatic re-checking.

• •Three-file feedback loop (measure, remember, re-check) auto-heals AI config problems
• •Pattern borrowed from Prometheus Alertmanager, TDD, and CI pipelines
• •No manual monitoring needed—rules auto-resolve when compliance improves

Generated with AI, which can make mistakes.