watch-evolution

To automate code repair, initiate a background daemon to process and resolve queued code issues asynchronously while you continue development. It diagnoses root causes, applies automated fixes, and manages continuous code improvement without manual intervention.

Yes, the background daemon uses intelligent scheduling to prioritize queued code issues based on urgency. It processes high-priority tasks first and applies configurable retry mechanisms with exponential backoff for any failed code repair attempts.

Automated debugging leverages other specified skills to pinpoint root causes of queued code issues. After identifying the underlying problem, it implements automated code fixes and runs tests to ensure the repair resolves the defect.

You need a persistent background daemon to continuously analyze and repair backlog code issues. Running as a persistent process ensures code quality tasks are handled asynchronously over time, preventing developer productivity loss from manual backlog management.

Lessons learned from automated code fixes are recorded into `PRINCIPLES.md` and `ISSUE_LOG.md` files. This knowledge logging captures the evolutionary process, documenting how issues were diagnosed and resolved for future reference.

When an automated code repair task fails, the daemon applies a retry mechanism utilizing exponential backoff. This scheduling logic ensures failed tasks are re-queued appropriately, preventing system overload while attempting to resolve the code issue.