Developer creates system for AI agents to propose and review workflow improvement rules

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A developer building IssueFlow encountered a problem where AI coding agents would halt workflows over irrelevant missing credentials. This prompted the creation of a system where agents can submit proposed behavioral rules after failures. A separate 'librarian' agent collects and generalizes these proposals into candidate rules for human review. The developer can then approve, edit, or reject these rules before they are implemented, aiming to prevent an accumulation of unnecessary instructions.

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