[daily performance] Daily Performance Summary - 2026-08-09

[github-actions[bot]]

Performance Overview

github/gh-aw remains an extremely high-throughput repository, driven almost entirely by its own agentic automation. Over the sampled window, 461 of 600 recent pull requests were merged (a 76.8% merge rate) with a very fast average merge time of 2.2 hours, reflecting heavy reliance on automated PR authors and fast-turnaround review workflows.

Issue activity is similarly brisk: 501 of 600 recent issues were closed, with an average resolution time of 12.0 hours. Discussion activity is dominated by automated daily reports (audits, security, lint, firewall, team-evolution, etc.), most of which are informational and not designed to be "answered" in the traditional Q&A sense.

Data coverage note: the query tools cap results at the most recent items returned, and this repository's activity volume is so high that 600 PRs and 600 issues only cover approximately the last ~2.7 days, not the full 90-day window requested. Metrics below should be read as a snapshot of very recent, high-intensity activity rather than a true 90-day trend.

Key Highlights

• ✅ 461 PRs merged (out of 600 most recent)
• 📊 501 issues resolved (out of 600 most recent)
• 💬 100 discussions captured, 0 marked as formally "answered" (most are automated report postings, not Q&A threads)
• ⏱️ Average merge time: 2.2 hours
• 👥 7 unique PR contributors (heavily automation-driven)

🚨 Critical Performance Issues

No critical performance issues detected. PR merge velocity and issue resolution times are healthy. The main caveat is a data-coverage limitation: the mcp-script query tools returned only the most recent 600 PRs/issues and 100 discussions, spanning ~2.7 days instead of 90 days, due to this repository's very high activity volume (largely automated agentic workflows). True 90-day metrics likely differ from this snapshot.

📈 Activity Overview

Pull requests (600) and issues (600) dominate activity volume, both capped by the query tool's result limits, while discussions (100) trail — consistent with a repo where most day-to-day work happens via code changes and issue tracking rather than open-ended discussion threads.

📊 Detailed Benchmark Results

🎯 Resolution Metrics

Merged PRs (76.8%) substantially outweigh open (0.7%) and closed-unmerged (22.5%) PRs, indicating a healthy, fast-moving merge pipeline. Issues show a similar pattern: 83.5% closed vs. 16.5% open, suggesting the maintenance/triage automation is keeping pace with incoming issue volume.

⚡ Velocity Metrics

Average PR merge time (2.2 hours) and issue close time (12.0 hours) are both fast, typical of a repo where automated agents (bots) author and often self-merge or quickly review changes. Only 7 unique PR authors were observed in the sampled window, reinforcing that a small number of automation identities drive the bulk of PR volume. Discussion "answer rate" is 0% in this window, largely because sampled discussions are automated report postings rather than questions awaiting an answer.

📊 Complete Performance Data

Pull Requests

Metric	Value
Total PRs (sampled)	600
Merged	461
Open	4
Closed (unmerged)	135
Avg Merge Time	2.2 hours
Unique Contributors	7

Issues

Metric	Value
Total Issues (sampled)	600
Closed	501
Open	99
Avg Resolution Time	12.0 hours

Discussions

Metric	Value
Total Discussions (sampled)	100
Answered	0
Answer Rate	0.0%

📈 Historical Comparisons

No prior daily-performance dataset was retained for direct comparison in this run; the previous "[daily performance]" discussion (#51466, 2026-08-08) has been closed as outdated and superseded by this report.

💡 Optimization Recommendations

1. Increase query result limits or add pagination/date-windowing to the mcp-script PR/issue query tools so future reports can genuinely cover the full 90-day window instead of being truncated to ~2.7 days of the most recent activity.
2. Diversify discussion answer tracking — since most discussions here are automated report postings rather than questions, consider excluding auto-generated report discussions from "answer rate" calculations, or track a separate metric for genuine Q&A discussions.
3. Continue monitoring the small pool of PR authors (7 unique) driving nearly all merge volume; ensure bot/automation identities are healthy and not silently failing, since they represent a concentration risk for delivery velocity.

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Report generated automatically by the Daily Performance Summary workflow
Data source: github/gh-aw - Sampled window (~2.7 days due to tool result limits; 90-day target not fully achievable with current query caps)
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Generated by ⚡ Daily Project Performance Summary Generator (Using MCP Scripts) · auto · 68.8 AIC · ⌖ 5.21 AIC · ⊞ 12.8K · ◷

• expires on Aug 12, 2026, 1:05 PM UTC-08:00