[copilot-session-insights] Daily Copilot Agent Session Analysis — 2026-09-24

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🤖 Copilot Agent Session Analysis — 2026-09-24

Executive Summary

• Sessions Analyzed: 50
• Analysis Period: 2026-09-24T01:37:35Z → 2026-09-24T06:11:19Z (~4h34m window)
• Completion Rate: 44.0% (22 success / 8 failure / 20 action_required)
• Average Duration: 20.12 min (raw proxy, updated_at − created_at); 33.54 min / 18.07 min median on the 30 non-zero entries
• Experimental Strategy: none — standard run (roll=53, ≥30 threshold)

Key Metrics

Metric	Value	Trend (vs 09-23)
Total Sessions	50	→
Successful Completions	22 (44.0%)	↑ (+20.0pts)
Failed	8 (16.0%)	→
Action Required	20 (40.0%)	↓ (-20.0pts)
Average Duration	20.12 min	↓ (from 31.51 min)
Orphaned Branches / Escalations	0 / 0	→
True-Agentic Success	5/5 (100%)	→ (4th consecutive 100% day)

Duration figures for both today and 09-23 are inflated relative to "real" execution time by cascade-invalidation artifacts (see Failure Signals #2) — treat the raw averages as an upper bound, not a clean latency measure.

Success Factors ✅

1. True-agentic task completion: 5/5 true-agentic runs succeeded today (2x "Addressing comment on PR Allow add-labels max to set per-call label limit #63044", 2x "Addressing comment on PR Scope forked-repository checkout guard to PR replays #63011", 1x "Running Copilot cloud agent") — 100%, the 4th consecutive full-recovery day (09-19: 3/3, 09-22: 7/7, 09-23: 5/5, 09-24: 5/5). Tasks with a specific, already-scoped PR-comment target continue to be the most reliable agent workload.

   • Success rate: 100%
   • Example: both fix-assert-trusted-checkout-runtime review-comment follow-ups landed clean CJS/code-scanning passes before addressing the comment itself.

2. Isolated (non-burst) session firings outperform burst-fired ones: sessions whose creation timestamp sits >10s from any neighbor succeeded 71.4% of the time (5/7) vs. 39.5% (17/43) for sessions fired within a 10s burst — continuing the standing pattern first identified 09-05/09-08 (this window's 1.8x gap is narrower than the historical 3–8x range, still directionally consistent).

   • Success rate: 71.4% isolated vs 39.5% burst-fired
   • Example: burst-fired sessions are almost entirely CI-gate stubs (CGO/CWI/CJS/Doc Build - Deploy firing together), not independent task attempts.

3. Branches that eventually merge show materially higher gate pass rates: copilot/improve-agent-detection (merged as PR Improve detection and diagnostics for missing Copilot custom agent #63048 at 04:15:16Z) hit 80% success (4/5) including three full CGO/CWI/CJS passes (98–103 min each); copilot/fix-assert-trusted-checkout-runtime hit 83.3% (5/6).

   • Success rate: 80–83%
   • Example: both branches cleared their code-scanning and CI-gate workflows without a single failure before merge/close.

Failure Signals ⚠️

1. Perpetually-blocked gates, mostly unchanged: Doc Build - Deploy 0/4 (0%), CGO 1/5 (20%), CWI 1/5 (20%), Squad/Squad Implement Worker 0/3 (0%) — these workflows still rarely resolve to success within the 50-run window, though today's partial CGO/CWI passes (both on the branch that went on to merge) are a modest improvement over the usual flat 0%.

   • Failure/action-required rate: 80–100% depending on gate
   • Example: copilot/allow-add-labels-max-control alone fired 15/20 of its sessions as action_required (75%) across CGO/CWI/CJS/Doc Build - Deploy, none reaching success this window.

2. pr_terminal_event_cascade — largest instance on record: PR Ensure a blank line follows closing </details> tags in generated markdown #63069 ("Ensure a blank line follows closing </details> tags") was closed without merging at 04:14:22Z. One second later (04:14:23Z), 8 in-flight runs across 6 distinct workflows (PR Code Quality Reviewer, Test Quality Sentinel, CJS, Matt Pocock Skills Reviewer, Ponytail Reviewer, PR Data Prefetch, Design Decision Gate, Impeccable Skills Reviewer) flipped to failure simultaneously, and Squad Implement Worker flipped to action_required 7s later (04:14:29Z) — 9 total runs invalidated, beating the prior record of 8 (set 09-23, also a close-triggered event). This is the 2nd confirmed close-triggered cascade, reinforcing that the trigger is "any PR terminal state" (merge or close), not merge-specific.

   • Failure rate: 100% of in-flight runs at close time
   • Example: all 8 failure timestamps are byte-identical (2026-09-24T04:14:23Z), a clear signature distinguishing cascade failures from genuine independent failures.

3. A smaller, ordinary merge_invalidation_cascade also fired: PR Improve detection and diagnostics for missing Copilot custom agent #63048 merged at 04:15:16Z → Squad Implement Worker on copilot/improve-agent-detection flipped to action_required 7s later (04:15:23Z) — a clean, single-run textbook case (same size as the smallest instance on record, 09-19).

   • Failure rate: 1 run invalidated per merge event
   • Example: offset (7s) is consistent with the standing "≤10s to nearest merge/close" cascade signature.

Prompt Quality Analysis 📝

Per-Prompt Breakdown

No prompt-level data is available this cycle — see Notable Observations below (conversation transcript logs remain empty). Metadata-only proxies used instead:

• True-agentic runs (pre-scoped "Addressing comment on PR #N" tasks) continue to show the highest reliability (100%, 4th consecutive day) — consistent with well-defined, narrowly-scoped follow-up prompts being easier to complete correctly than open-ended ones.
• No high/low-quality prompt text examples can be extracted without transcript data.

Orphaned Branch Escalation Alerts 🚨

Branches with ≥5 simultaneous gate firings and no Copilot agent assigned for >2 hours.

Summary

• Orphaned Branches Today: 0 out of 18 open PRs (0.0%)
• Historical Baseline: 0.0% orphaned rate (30-day mean over 30 recorded days)
• Status: NORMAL

Escalation Candidate Details

Escalation Candidates

✅ No orphaned branches exceed the escalation threshold today. Only 3 in-progress workflow runs existed repo-wide in the trailing 6h, and all 3 were on main (this workflow, CI, and Tidy) — zero were on a feature branch, so the gate-count-per-branch join produced zero candidates before the wait-time filter was even applied.

CI Waste Estimate

• Orphaned gate-hours today: 0 — no orphaned branches to estimate against.
• Recoverable capacity: N/A — this is the 32nd consecutive healthy day (0.0% orphan rate holding since tracking began).

Notable Observations

Loop Detection and Session Diagnostics

Loop Detection

• Sessions with loops: Not measurable this cycle (requires turn-by-turn transcript data, unavailable — see below).
• Average loop count: N/A
• Common loop patterns: N/A

Tool Usage

• Most used tools: Not measurable — no conversation transcripts available (see below).
• Tool success rates: N/A
• Missing tools: N/A

Context Issues

• Sessions with confusion: Not measurable — no transcript data.
• Common confusion points: N/A
• Clarification requests: N/A

Conversation Transcript Gap

Conversation transcript logs ({run_id}-conversation.txt) are empty for the 32nd+ consecutive recorded day (0 files in /tmp/gh-aw/agent/session-data/logs/ and in cache-memory's session-logs-latest/). This remains the single largest standing tooling gap in this analysis pipeline: all turn-by-turn model/token/tool-call behavioral analysis (loop detection, tool usage patterns, context confusion, prompt quality) is unavailable, and this report is built entirely from run metadata (sessions-list.json: conclusion, timestamps, branch, workflow name) plus live gh api queries for PR/run state.

Provenance Split

• True-agentic vs bot-driven successes: 17/22 successes (77.3%) are bot/CI-gate-driven (Code scanning AI findings, Running Copilot Code Review, etc.) vs. 5/22 (22.7%) true-agentic — squarely inside the historical 72–86% band, confirming 09-23's low (58.3%) as a one-off rather than a new trend.

Experimental Analysis

Standard analysis only this run (roll=53 ≥ 30 threshold) — no experimental strategy triggered.

Actionable Recommendations

For Users Writing Task Descriptions

1. Prefer narrowly-scoped, PR-comment-anchored follow-up tasks over open-ended ones: the "Addressing comment on PR #N" task shape has now hit 100% success for 4 straight recorded days across 20 total runs. When possible, decompose larger asks into this shape.

   • Example: Before: "clean up the PR" → After: "address review comment X on PR #N about Y".

2. Expect Doc Build - Deploy, CGO, CWI, and Squad* gates to need manual re-trigger or investigation, not agent retries — they resolve to success only when the underlying branch is otherwise clean and heading toward merge, not through repeated automatic re-firing.

For System Improvements

1. Cascade-aware duration reporting: both today's and 09-23's raw average duration are dominated by pr_terminal_event_cascade artifacts (9 runs today, 8 on 09-23, both with 1-hour-plus gaps between creation and the terminal-event flip). A cascade-adjusted duration metric (excluding runs invalidated within 10s of a PR merge/close) would give a cleaner efficiency signal.

   • Potential impact: Medium — mainly affects report accuracy, not agent behavior.

2. Track pr_terminal_event_cascade size as a standing per-run metric (not just the largest instance) — this pattern has now grown from a same-day discovery (09-23) to a repeat/larger occurrence (09-24), suggesting it's a structural side effect of how in-flight CI gates are cancelled on PR close, worth a dedicated dashboard panel.

   • Potential impact: Medium — helps distinguish genuine CI instability from PR-lifecycle noise.

For Tool Development

1. Restore conversation transcript log collection: 32+ consecutive days without transcript data means loop detection, tool-usage-pattern analysis, and prompt-quality scoring — three of the six standard analysis strategies this workflow is designed to run — have been unavailable since tracking began. This is the highest-leverage fix available to this analysis pipeline.
   • Frequency of need: every one of the last 32 recorded runs.
   • Use case: turn-by-turn behavioral analysis as specified in Phase 1 of this workflow.

Historical Trends and Statistical Summary

Trends Over Time

• Completion rate trend: 44.0% today, +20.0pts vs 09-23 (24.0%), above the 30-day mean (~31%); volatile week-to-week (range 4–78% over the recorded history), no clear directional drift.
• Average duration trend: 20.12 min today, down from 09-23's 31.51 min, but both remain artifact-inflated by cascade events rather than reflecting a genuine speed change.
• Orphan rate: flat at 0.0% for 32 consecutive recorded days — no drift, no action needed.

Statistical Summary

Total Sessions Analyzed:     50
Successful Completions:      22 (44.0%)
Failed Sessions:             8 (16.0%)
Action Required:             20 (40.0%)

Average Session Duration:    20.12 min (raw, all 50)
Median Session Duration:     4.06 min (raw, all 50)
Nonzero-only Mean:           33.54 min (30 entries)
Nonzero-only Median:         18.07 min
Longest Session:             102.73 min (CGO, copilot/improve-agent-detection, success)

True-Agentic Runs:           5 (100% success)
Bot/CI-Gate-Driven Successes: 17 (77.3% of successes)
Orphaned Branches:           0 / 18 open PRs (0.0%)
Cascade Events:              2 (1 pr_terminal_event_cascade, 9 runs; 1 merge_invalidation_cascade, 1 run)

Conversation Logs Available: 0 / 50 (32nd consecutive empty day)

Next Steps

• Review recommendations with team
• Prioritize restoring conversation transcript log collection (32+ day standing gap)
• Consider a cascade-adjusted duration metric to reduce report noise from PR-lifecycle events
• Schedule follow-up analysis tomorrow (2026-09-25)

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📈 Session Trends Analysis

Completion Patterns

Completion rate has been highly volatile over the last 30 recorded days (4%–78%), with today's 44.0% sitting comfortably above the ~31% mean and continuing a recovery from 09-23's below-average 24.0%. Failed/action-required counts track closely inverse to successful completions, as expected given the fixed 50-session sampling window, with no sustained upward or downward drift visible across the month.

Duration & Efficiency

Average duration is dominated by sporadic spikes (09-01, 09-16, 09-20, 09-23) that historical analysis has traced to cascade-invalidation and GitHub status-resync artifacts rather than genuine slowdowns — median duration is a more stable signal and has stayed under 15 minutes on all but 3 of the last 30 recorded days. Today's mean (20.12 min) is likewise inflated by the 9-run pr_terminal_event_cascade described above.

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Analysis generated automatically on 2026-09-24
Run ID: 35966856195
Workflow: Copilot Session Insights

Warning

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To allow these domains, add them to the network.allowed list in your workflow frontmatter:

network:
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Generated by 📊 Copilot Session Insights · claude · agent · 297.1 AIC · ⌖ 11.6 AIC · ⊞ 18.7K · ◷

• expires on Sep 24, 2026, 11:28 PM UTC-08:00

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This discussion has been marked as outdated by Copilot Session Insights.

A newer discussion is available at Discussion #63386.