How One Developer Built a System That Turns Documentation Gaps Into Pull Requests

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A developer has built a self-improving documentation system that automatically converts reader feedback and unanswered questions into pull requests for human review. The motivation came from recognising that AI agents, unlike human developers, blindly follow outdated documentation without questioning its accuracy. Industry survey data from Mintlify corroborated the problem, showing most teams take over a week to reflect product changes in their docs. The system works by capturing instances where a docs assistant fails to answer correctly, then triggering an automated job that drafts a documentation fix as a pull request. A human reviewer still approves each change, keeping the process assisted rather than fully autonomous.

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