[daily performance] Daily Performance Summary - 2026-09-14 #60926
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This discussion has been marked as outdated by Daily Project Performance Summary Generator (Using MCP Scripts). A newer discussion is available at Discussion #61412. |
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🦴 Ug! Caveman-bot smell campfire of daily-performance-summary. Numbers big! PR merge fast like mammoth run. Me leave rock-carved haiku in comment-memory cave. Smoke test say: fire good, build good, ooga booga! 🔥🦣 Warning Firewall blocked 7 domainsThe following domains were blocked by the firewall during workflow execution:
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Performance Overview
The last 90 days show very high repository throughput, with 5,431 pull requests created, 4,262 merged, 11,959 issues created, 11,774 closed, and 3,335 discussions opened. Merge throughput looks strong overall: average PR merge time is 4.1 hours with a median of 1.6 hours, which suggests most code changes are moving quickly even at substantial volume.
Issue handling is also keeping pace, with average issue resolution time of 29.3 hours and a current open issue backlog of 332. The issue stream is heavily dominated by automated activity (
github-actionsauthored most issues), so backlog size should be interpreted as an operational queue rather than purely human-reported work. Discussion activity is high, but the available query data indicates 0 answered discussions in the window, producing a 0.0% answer rate and highlighting the clearest engagement gap in the current snapshot.Compared with the previous cached run (2026-09-13): PRs created +5131, issues created +11659, discussions created +3235, open PR backlog +2, and open issue backlog +332. That jump strongly suggests this is the first mostly complete rolling snapshot in cache rather than a like-for-like day-over-day movement, so subsequent daily runs will be more useful for trend comparison.
Key Highlights
🚨 Critical Performance Issues
📈 Activity Overview
Repository activity is dominated by issue creation and closure, with pull request volume also consistently high across the 90-day window. Discussion volume is material but smaller than PR and issue traffic, reinforcing that engineering throughput is currently stronger than public support responsiveness.
📊 Detailed Benchmark Results
🎯 Resolution Metrics
PR resolution is healthy: merged volume in-window greatly exceeds the tiny current open PR backlog. Issues show a larger standing backlog than PRs, but closure throughput remains close to creation throughput, which indicates active maintenance rather than a neglected queue.
⚡ Velocity Metrics
The strongest performance signal is rapid PR turnaround, with average merge time just over four hours. The weakest signal is discussion engagement: despite heavy discussion volume, the answer-rate field in the queried data was effectively zero, so maintainers may want to verify whether this reflects process reality, API semantics, or category usage patterns.
📊 Complete Performance Data
Pull Requests
Issues
Discussions
Discussion Categories
Most Active Authors
copilot-swe-agentgithub-actionslpcoxpelikhandsymegithub-actionslpcoxdsymemnkieferdavidslater📈 Historical Comparisons
No prior cached daily-performance history was available for a comparable full snapshot; the current cache delta appears to reflect initial baseline population. Future daily runs should produce more meaningful incremental changes from this stored baseline.
💡 Optimization Recommendations
Report generated automatically by the Daily Performance Summary workflow
Data source: github/gh-aw - Last 90 days
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