[daily performance] Daily Performance Summary - 2026-09-20

[github-actions[bot]]

Performance Overview

Over the last 90 days, github/gh-aw has sustained a healthy pull request flow, with 100 PRs opened and 59 merged during the reporting window. Average PR merge time was 4.8 hours, indicating relatively fast turnaround for accepted changes and a responsive review/merge path.

Issue volume remained high, with 93 issues created and 30 closed in the same period, while the current open issue backlog stands at 83. Average issue resolution time for closed issues was 8.8 hours, so resolved issues are generally handled quickly, but backlog growth suggests intake is currently outpacing closure throughput.

Discussion metrics could not be collected through the available query path in this run, so discussion-specific trend analysis is conservative and reported as zero rather than estimated. The PR and issue signals still provide a strong view of project execution velocity and backlog pressure.

Key Highlights

• ✅ 59 PRs merged in the last 90 days
• 📊 30 issues resolved
• 💬 0 discussions answered
• ⏱️ Average merge time: 4.8 hours
• 👥 4 unique contributors

🚨 Critical Performance Issues

• Open issue backlog (83) is materially larger than 90-day issue closures (30), indicating sustained backlog accumulation.
• PR throughput is solid, but only 32.3% of issues created in the window were closed within the same window.
• Discussion data collection via the prescribed MCP query path timed out during this run, reducing visibility into community support responsiveness.

📈 Activity Overview

Pull request and issue creation volumes were of similar magnitude over the window, while discussion activity is shown as zero because the discussion query path did not return usable data in time. Development throughput appears active, but issue backlog management is the clearest operational pressure point.

📊 Detailed Benchmark Results

🎯 Resolution Metrics

PR status distribution shows a strong merged cohort relative to the current open PR backlog, suggesting changes are generally landing. Issue status distribution is less favorable: the open issue backlog substantially exceeds issues closed during the window, reinforcing the need for triage and closure discipline.

⚡ Velocity Metrics

Average PR merge time and average issue close time are both under 9 hours for completed work, which is a strong operational signal. The main gap is not response speed on finished items, but volume imbalance between new issues created and issues closed.

📊 Complete Performance Data

Pull Requests

Metric	Value
Total PRs	100
Merged	59
Open	14
Avg Merge Time	4.8 hours
P90 Merge Time	11.2 hours
Unique Contributors	4
Merge Rate	59.0%

Issues

Metric	Value
Total Issues	93
Closed	30
Open	83
Avg Resolution Time	8.8 hours
P90 Resolution Time	13.6 hours
Close Rate	32.3%

Discussions

Metric	Value
Total Discussions	0
Answered	0
Answer Rate	0.0%
Data Note	MCP discussion query timed out; zeros are reported conservatively

📈 Historical Comparisons

Historical comparison storage was updated for this run, but no prior-baseline summary was incorporated into the discussion body. Future runs can use the appended cache history to compute period-over-period deltas and rolling averages.

💡 Optimization Recommendations

1. Prioritize issue triage and closure sessions to reduce the gap between issue intake and issue resolution.
2. Preserve current PR review practices, since merge turnaround is already fast and appears to support healthy delivery velocity.
3. Investigate and stabilize the discussion-query MCP path so future reports can include community support and answered-rate trends with full fidelity.

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Report generated automatically by the Daily Performance Summary workflow
Data source: github/gh-aw - Last 90 days
Powered by Safe-Input Tools / GitHub query automation

Generated by ⚡ Daily Project Performance Summary Generator (Using MCP Scripts) · pi · gpt54 · 28 AIC · ⊞ 10.4K · ◷

• expires on Sep 23, 2026, 12:50 PM UTC-08:00

[github-actions[bot]]

This discussion has been marked as outdated by Daily Project Performance Summary Generator (Using MCP Scripts).

A newer discussion is available at Discussion #62471.