[daily issues] Daily Issues Report - 2026-09-14 #60855
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Summary
1000 issues analyzed — the repository's issue tracker is dominated by automated workflow output, not human-reported problems.
Of the last 1000 issues, 839 (84%) are already closed and 161 remain open. The volume is overwhelmingly generated by bots:
app/github-actionsalone authored 945 of the 1000 issues, with human contributors accounting for a small fraction of activity. Closure is fast — the average time to close is under a day (0.57 days) — consistent with automated agent runs opening and quickly resolving tracking issues. Clustering by topic surfaces the "aw"/"gh aw" workflow-tooling theme as the largest group (269 issues), followed by workflow-failure and agent-related clusters, mirroring the tool's own operational activity rather than external bug reports.The main actionable finding is a labeling gap: 182 issues (18%) carry no labels at all, and 959 (96%) have no assignee, though this is expected given the automated, single-purpose nature of most issues (created and closed by the same workflow run). No issues were found in a stale state (30+ days without activity), indicating healthy throughput.
View Full Details
📈 Issue Activity Trends
Activity over the last 30 days shows a steady, high-frequency cadence of both openings and closings, with daily counts often exceeding 30 issues and tracking each other closely — a signature of automated create-then-close workflow runs rather than organic bug reporting. The 7-day moving averages show no sustained divergence between open and close rates, meaning the backlog is not growing.
🏷️ Issue Clusters by Theme
The largest cluster (269 issues) centers on "aw / gh aw" core tooling terms, followed by workflow-failure diagnostics (228) and agent/model-related discussion (223). Smaller clusters capture "work in progress" tracking issues (133), deep-report generation (43), and a curious "squad game" cluster (42) tied to gamified workflow experiments. A "code scanning / fixer" cluster (21) represents the smallest but most targeted group, likely tied to security-fix automation.
Cluster Details
📊 Key Metrics
Volume Metrics
issues_analyzed): 1000 (Scope: Last 1000 issues)open_issues): 161 (16.1%)closed_issues): 839 (83.9%)Time-Based Metrics
issues_opened_7d): 1000issues_opened_30d): 1000Triage Metrics
issues_without_labels): 182 (18.2%)issues_without_assignees): 959 (95.9%)stale_issues): 0🏆 Top Labels
👥 Most Active Authors
@app/github-actions@app/cao-githubnext-gh-aw-cao-write@lpcox@jaroslawgajewski@abbottdev@lis365b@dsfaccini@AndrewBabchenko@jpmicrosoft@pelikhanStale Issues (No Activity 30+ Days)
None found — all open issues have had activity within the last 30 days.
Unlabeled Issues (sample)
📝 Recommendations
[WIP] <agent name>: work in progresspattern; adding a standardwip-trackinglabel at creation time would close most of the labeling gap without manual effort.cascade-suspectedlabel (129 issues) for patterns indicating repeated automation failures cascading across workflows — this volume suggests a systemic issue worth a dedicated root-cause review.Report generated automatically by the Daily Issues Report workflow
Data source: Last 1000 issues from github/gh-aw
Note: the previous "[daily issues]" discussion (#60630) could not be automatically closed because the
close_discussionsafe-output tool was not available in this run's configuration; amissing_toolreport has been filed.All reactions