[daily issues] Daily Issues Report - 2026-10-07

[github-actions[bot]]

Summary

1000 issues analyzed — 317 open (31.7%), 683 closed (68.3%).

The 1,000-issue window covers only Oct 3–7, 2026, so every issue falls inside the 7- and 30-day windows. Activity is dominated by automation: 973 issues (97%) come from github-actions. Closed issues resolve fast, with a mean of ~13h and a median of ~12.6h.

Triage is in good shape: 11 open issues lack labels and no open issue has been idle for 30+ days. The main gap is ownership, since 294 of 317 open issues have no assignee.

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📈 Issue Activity Trends

The window holds only ~4.5 days of data, so the 30-day chart is sparse before Oct 3. Daily volume is high and driven by scheduled workflows.

🏷️ Issue Clusters by Theme

TF-IDF + K-means (k=8) shows reports, workflow failures and in-progress work items as the main themes.

Cluster Details

Cluster	Theme (top terms)	Issue Count	Sample Issues
1	pkg, 2026-10, report	260	#66587, #66586, #66575
2	github, aw, workflow, main	186	#66595, #66594, #66581
3	github, task, failure, reported	169	#66601, #66600, #66592
4	github, jobs, aw, failed	130	#66603, #66602, #66598
5	work, work progress, created	105	#66604, #66599, #66583
6	squad, aic, game, plan	55	#66549, #66548, #66547
7	test parallelizer, daily test	51	#66570, #66514, #66513
8	source issues, fix	44	#66493, #66492, #66491

📊 Key Metrics

Volume Metrics

• Total Issues Analyzed (issues_analyzed): 1000 (Scope: Last 1000 issues)
• Open Issues (open_issues): 317 (31.7%)
• Closed Issues (closed_issues): 683 (68.3%)

Time-Based Metrics

• Issues Opened (Last 7 Days) (issues_opened_7d): 1000
• Issues Opened (Last 30 Days) (issues_opened_30d): 1000
• Average Time to Close: ~12h 58m (median ~12h 36m)

Triage Metrics

• Issues Without Labels (issues_without_labels): 11 (open)
• Issues Without Assignees (issues_without_assignees): 294 (open)
• Stale Issues (30+ days) (stale_issues): 0

🏆 Top Labels

Label	Issue Count
agentic-workflows	582
cascade-suspected	243
automation	217
cookie	149
code-quality	60
testing	56
quick-win	50
task-mining	50
improvement	50
aw-essential	44

👥 Most Active Authors

Author	Issues Created
app/github-actions	973
@SivaKesava1	6
@WilliamBerryiii	5
@jaroslawgajewski	3
@JeffreyCA	2
@pelikhan	2

⚠️ Issues Needing Attention

Stale Issues (No Activity 30+ Days)

• None

Unlabeled Issues

• [aw] Daily Go Test Parallelizer reported incomplete result #66604: [WIP] Daily Go Test Parallelizer: work in progress
• [agentic-token-audit] Daily AIC Usage Audit 2026-10-07 #66537: [agentic-token-audit] Daily AIC Usage Audit 2026-10-07
• [model-resolution] Model resolution audit findings #66468: [model-resolution] Model resolution audit findings
• [Parent] Investigate smoke workflow AI Credits guardrail blocks from unresolved accounting #66449: [Parent] Investigate smoke workflow AI Credits guardrail blocks from unresolved accounting
• [copilot-cli-research] Copilot CLI Deep Research - 2026-10-07 #66430: [copilot-cli-research] Copilot CLI Deep Research - 2026-10-07

📝 Recommendations

1. Investigate the cascade-suspected label (243 issues, 24%): it may signal duplicate or cascading failures from automation.
2. Assign owners to the 294 unassigned open issues, prioritizing human-authored ones.
3. Apply default labels in the workflows that create unlabeled issues (e.g. audit and WIP issues).
4. Consider deduplicating the repeated [WIP] Daily Go Test Parallelizer issues (cluster 7 plus part of cluster 5).

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Report generated automatically by the Daily Issues Report workflow
Data source: Last 1000 issues from github/gh-aw

Generated by 📅 Daily Issues Report Generator · copilot · auto · 19.2 AIC · ⌖ 10.3 AIC · ⊞ 13.5K · ◷

• expires on Oct 10, 2026, 6:43 AM UTC-08:00