[daily performance] Daily Performance Summary - 2026-09-26

[github-actions[bot]]

Performance Overview

The last 90 days show very high delivery throughput in github/gh-aw, driven primarily by continuous agentic automation. The repository recorded 4,983 PRs created, 3,876 PRs merged, 12,784 issues created, 12,608 issues closed, and 3,127 discussions created within the rolling window beginning 2026-06-28T20:55:16Z. Current backlog remains comparatively small relative to throughput, with only 4 open PRs and 355 open issues at snapshot time.

Cycle-time performance is healthy overall. PRs merged in an average of 4.2 hours with a 1.6 hour median, which suggests most changes land quickly even if a minority of slower PRs pull the mean upward. Issues closed in an average of 26.6 hours with a 13.0 hour median, indicating the repo is closing work faster than daily cadence on typical items.

Discussion volume is also substantial, though nearly all discussions appear to be report-style posts rather than Q&A threads. Discussion answer-rate measured by the GraphQL answer field was 0.0%, which is likely structural rather than a responsiveness failure because the dominant categories are Audits, Announcements, and General rather than support-focused categories.

Key Highlights

• ✅ 3,876 PRs merged in the last 90 days
• 📊 12,608 issues resolved
• 💬 0 discussions answered
• ⏱️ Average merge time: 4.2 hours
• 👥 8 unique PR contributors

🚨 Critical Performance Issues

No critical performance issues detected.

Areas to watch:

• Discussion answer-rate is effectively zero, but the discussion mix suggests the forum is being used mainly for automated reporting rather than answered support threads.
• Issue volume is extremely high and dominated by automation labels, so ongoing noise-management remains important even though closure rates are strong.

📈 Activity Overview

Activity remained consistently elevated across the full 90-day window, with issue creation volume far exceeding PR and discussion creation on most days. PR and discussion activity tracked steadily as well, showing a durable automation-driven operating rhythm rather than a short-lived burst.

📊 Detailed Benchmark Results

🎯 Resolution Metrics

Merged PR throughput remained strong throughout the period, and issue closure throughput closely matched the high issue intake. The combination of 3,876 merged PRs and only 4 currently open PRs indicates low PR backlog pressure, while 12,608 closed issues against 355 open issues shows the issue queue is being actively processed despite large inflow.

⚡ Velocity Metrics

Velocity metrics show fast PR handling and moderate issue turnaround. The gap between PR mean and median merge times implies a small tail of slower changes, but the median confirms that typical changes merge quickly. Contributor concentration is narrow at 8 unique PR authors, which is acceptable for an automation-heavy repository but worth monitoring for resilience.

📊 Complete Performance Data

Pull Requests

Metric	Value
Total PRs	4,983
Merged	3,876
Open	4
Avg Merge Time	4.2 hours
Median Merge Time	1.6 hours
Unique Contributors	8

Issues

Metric	Value
Total Issues	12,784
Closed	12,608
Open	355
Avg Resolution Time	26.6 hours
Median Resolution Time	13.0 hours

Discussions

Metric	Value
Total Discussions	3,127
Answered	0
Answer Rate	0.0%

Additional Context

• Top issue labels: agentic-workflows (6,166), automation (3,990), cookie (2,362), cascade-suspected (1,133), testing (1,110)
• Top discussion categories: Audits (2,291), Announcements (409), General (377)
• Review decisions on the PR candidate set were dominated by NONE, consistent with the repo's high-volume automated flow.

📈 Historical Comparisons

Historical cache was initialized this run, so a prior-period trend baseline is not yet available in durable memory. Future runs can compare rolling 90-day metrics using the appended JSONL history under /tmp/gh-aw/cache-memory/trending/daily-performance/history.jsonl.

💡 Optimization Recommendations

1. Reduce issue-tracker noise by continuing to shift purely informational automation output toward discussions when no issue-level action is required.
2. Monitor the small set of slower PR outliers to determine whether specific workflow types or reviewers are extending mean merge time disproportionately.
3. Track contributor concentration over time; if the repo remains dependent on a very small number of authors or bots, add resilience checks around ownership and maintenance coverage.

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Report generated automatically by the Daily Performance Summary workflow
Data source: github/gh-aw - Last 90 days
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Generated by ⚡ Daily Project Performance Summary Generator (Using MCP Scripts) · pi · gpt54 · 35.3 AIC · ⌖ 9.23 AIC · ⊞ 10.5K · ◷

• expires on Sep 29, 2026, 1:03 PM UTC-08:00