Hi all, I have completed two PR triage sessions using the latest version of "Magpie," which includes improved stats and charts: PR Stats Dashboard ( https://htmlpreview.github.io/?https://gist.githubusercontent.com/potiuk/d593b7773847e5d2f8638ad59d355842/raw/7125cc996a05e135e93dc26012816b83db1fad51/pr-stats-dashboard.html ).
Observations: - AI Triage: The process is effective; "drive-by" PRs have decreased, and we now see a ~50% author response rate. Open/closed PR volume has stabilized at approximately 40 per day. - Review Queue: We have 154 "ready for review" PRs, over half of which have no maintainer comments. This queue is growing quickly despite automated "unlabeling" of PRs with conflicts or failing tests. - Gaps: The "providers" and "task-sdk" areas lack the most coverage. Takeaways & Discussion Points: 1. AI triage successfully filters low-quality PRs, but we need more maintainers to conduct periodic reviews in their specific areas. 2. Reviews can be done manually via the "ready for review" label or assisted by the agent using /setup-steward and /pr-management-code-review. 3. We need to revamp CODEOWNERS to clarify whether listing implies observation or a commitment to review and to cover unassigned areas. I look forward to your thoughts on how we can improve these processes. Thanks, Jarek Potiuk
