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AI maintenance

Ownership and upkeep for agent-facing repository content and automation.

Updated View as MarkdownView on Github

This is a stub. It covers how a repository stays useful to coding agents after the first setup pass.

Questions to settle

  • How do repository maintainers divide upkeep for instructions, context, setup scripts, and tool configuration?
  • How do teams detect code changes that require agent-facing documentation updates in the same pull request?
  • How often should teams test the clone-to-run and clone-to-verified paths from a clean environment?
  • What signals show that agents are using stale instructions or repeatedly getting stuck?
  • How are failed agent tasks turned into specific documentation, automation, or test improvements?
  • Which parts of readiness can CI check automatically?
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