[daily performance] Daily Performance Summary - 2026-03-11 #20575
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This discussion has been superseded by a newer daily performance report. |
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Performance Overview
The
github/gh-awrepository continues to show strong activity with 100 PRs and 1,000 issues tracked in the most recent dataset. The project maintains excellent PR merge velocity at under 2 hours on average, reflecting a healthy and responsive development workflow. With 8 unique contributors and a high issue resolution rate (88.6% closed), the project demonstrates solid team engagement.Discussion activity remains high with 100 discussions in the dataset, providing a vibrant community feedback channel.
Key Highlights
🚨 Critical Performance Issues
No critical performance issues detected. The project health indicators are within normal ranges. Discussion answer rate is low (0%) — this may warrant attention to ensure community questions are being addressed.
📈 Activity Overview
PRs and Issues are the dominant activity channels, with issues significantly outnumbering PRs — typical for an active open-source project receiving community bug reports and feature requests. Discussion volume remains healthy at 100 recent items.
📊 Detailed Benchmark Results
🎯 Resolution Metrics
PR merge rate stands at 74% of tracked PRs (74 merged, 3 open, 23 closed without merge). Issue resolution is strong at 88.6% (886 closed, 114 open). The 23 closed-without-merge PRs may represent rejected or superseded contributions worth reviewing.
⚡ Velocity Metrics
The ~2 hour average PR merge time is excellent, indicating a fast CI/CD pipeline and responsive reviewers. Issue close time of ~19.7 hours suggests efficient triage and resolution. Discussion answer rate of 0% in this sample may reflect that answers are tracked differently or that discussions are more for reporting than Q&A.
📊 Complete Performance Data
Pull Requests
Issues
Discussions
📈 Historical Context
Previous daily performance discussions (#20414, #20255) have been closed as outdated. Trend data will improve over time as the workflow accumulates historical data points.
💡 Optimization Recommendations
Report generated automatically by the Daily Performance Summary workflow
Data source: github/gh-aw — Last 90 days
Powered by MCP Script Tools — GitHub queries exposed as MCP tools
References: §22971010757
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