build-loop:self-improve

Build failure pattern detection and improvement automation works by analyzing recent build-loop runs to identify recurring issues, automatically drafting experimental skills or agents to address them, and notifying you for final review and implementation decisions.

Yes, build-loop is a required dependency. The self-improvement automation attaches to build-loop runs to detect recurring patterns and draft experimental skills or agents for your review.

Yes, you can automatically draft experimental agents from recurring build failures by running the self-improvement process after a build-loop run. It detects the failure patterns and generates the agent drafts for your review.

The best way to stop recurring build errors in automated build loops is to deploy self-improvement automation. It detects recurring failure patterns across runs and drafts targeted experimental skills to resolve the root causes.

Yes, build automation improvement requires manual intervention. The system detects patterns and drafts experimental skills or agents, but it notifies you to make the final decision on whether to implement the proposed improvements.

You should not use automated skill drafting for build runs if your build-loop runs lack recurring failure patterns. The automation relies on detecting consistent patterns across recent runs to generate meaningful experimental agents or skills.