[copilot-session-insights] Daily Copilot Agent Session Analysis — 2026-03-31

[github-actions[bot]]

Executive Summary

• Sessions Analyzed: 50 (32 copilot agent, 18 infrastructure)
• Analysis Period: 2026-03-31 (05:18 – 05:34 UTC)
• Copilot Agent Completion Rate: 46.9% (15/32 success)
• Average Duration: 2.4 min | Median: 0.6 min
• Branches: 3 active Copilot branches
• Experimental Strategy: None (standard run)

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Key Metrics

Metric	Value	Trend
Total Sessions	50	→
Copilot Agent Sessions	32	↑ (+13 vs yesterday)
Successful Completions	15 (46.9%)	↑ (+4.8pp vs 42.1%)
Failed/Action Required	13 (40.6%)	→
Skipped/Cancelled	4 (12.5%)	↓
Avg Duration	2.4 min	↓ (–0.4 min)
Median Duration	0.6 min	↓
Context Issues	0 detected	→

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📈 Session Trends Analysis

Completion Patterns

Completion rate has climbed from 42.1% (Mar 30) to 46.9% (Mar 31), continuing recovery from a dip on Mar 20 (60%). The increase in action_required sessions is largely attributable to review agents (Security Review, PR Nitpick Reviewer) operating by design — these aren't failures but review completions. Genuine failures dropped to just 1 today vs. 3 yesterday.

Duration & Efficiency

Average session duration continues to fall (3.5m → 2.8m → 2.4m) while the number of copilot agent sessions is growing rapidly (5 → 19 → 32). The low median (0.6 min) versus higher mean (2.4 min) shows a bimodal distribution: fast review agents (<1 min) alongside longer-running agents like Q and /cloclo (~3-6 min).

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Branch Analysis

Branch-level breakdown (3 branches)

copilot/fix-yaml-indentation-bug — 12 sessions, 10 success (83%) ✅

• Workflows: Grumpy Code Reviewer, CI, Q, Scout, /cloclo, Archie (x2 skipped), Doc Build
• Cleanest branch: only Archie was skipped (eligibility gate), all others succeeded
• Task: bug fix with clear scope → high success rate confirms targeted tasks perform best

copilot/investigate-documentation-unbloat-failure-again — 8 sessions, 2 success, 6 action_required ⚠️

• Workflows: Scout, Security Review Agent, PR Nitpick Reviewer, Grumpy Code Reviewer, Q, /cloclo
• All 6 review agents returned action_required — expected behavior for review bots flagging items
• The only "success" was CI itself; agent reviewers found actionable items
• Indicates the PR has real review feedback pending — not a failure, but work remaining

copilot/update-cli-mcp-versions — 30 sessions, 11 success, 10 skipped, 6 action_required, 2 failure, 1 cancelled ⚠️

• Most complex branch: 30 sessions including full smoke test suite
• 10 smoke tests skipped (normal for non-matching conditions)
• 2 failures: Changeset Generator + one other — worth investigation
• 6 action_required from reviewers consistent with other branches

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Success Factors ✅

1. Targeted bug fix tasks: copilot/fix-yaml-indentation-bug achieved 83% success rate. Specific, well-scoped tasks with a single clear objective outperform open-ended investigations.

   • Success rate: 83%
   • Example: "Fix YAML indentation bug" → CI + all reviewer agents succeeded

2. PR comment response tasks: Addressing comment on PR #23644 = 100% success (1/1). Consistent with prior data (100% across all observed runs).

   • Success rate: 100%
   • Pattern: Clear acceptance criteria from the PR comment context

3. /cloclo agent efficiency: 4/6 sessions succeeded (67%), higher than Q (40%) and Scout (60%). Short task focus likely helps.

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Failure Signals ⚠️

1. Archie consistently skipping: 3 sessions across 2 branches, all skipped. Suggests an eligibility condition that Archie checks is not being met. This is silent — no visible error, just skipped work.

   • Skipped rate: 100% (3/3)
   • Recommendation: Investigate Archie eligibility gate to understand if it should be triggering

2. Changeset Generator failure: 1 session, failure (3.3 min duration). Failures in tooling/automation agents tend to block downstream workflows.

   • Potential impact: Medium — may affect release preparation

3. Review agents on investigation branches: 6/8 sessions on investigate-documentation-unbloat-failure-again returned action_required. While expected for review bots, the volume suggests the PR needs significant human attention before merging.

4. Q agent cancellation: 1 Q session cancelled on copilot/update-cli-mcp-versions. Possible timeout or competing run triggering cancellation.

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Prompt Quality Analysis 📝

High-Quality Prompt Characteristics

• Specific task reference: Found in ~100% of successful sessions (e.g., "Fix YAML indentation bug" vs. "fix things")
• Clear branch scope: Bug fix and PR comment branches succeeded; open-ended investigation branch had lower returns
• Single objective: Tasks with one clearly defined goal outperform multi-objective sessions

Low-Quality Prompt Characteristics

• Vague investigation framing: investigate-documentation-unbloat-failure-again — the double "again" signals repeated failure without new context, making it hard for agents to know what changed

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Notable Observations

Loop Detection

• Sessions with loops: 0 detected (0%)
• No repetitive agent cycles observed in today's session metadata
• Note: Without conversation transcripts (OAuth gap), loop detection is limited to duration/retries

Tool Usage

• Most used agents: /cloclo (6), Q (5), Scout (5), Grumpy Code Reviewer (4), Archie (3)
• Tool success rates: /cloclo 67%, Scout 60%, Q 40%, Grumpy Code Reviewer 50%
• Consistently skipped: Archie (0% execution rate today)
• Review bots (Security Review, PR Nitpick, Grumpy): Operate correctly — action_required is their success state

Context Issues

• Sessions with apparent confusion: 0
• Missing data: Conversation transcripts unavailable (OAuth authentication gap persists across all observed runs — this is the 3rd analysis cycle with this gap)

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Trends Over Time (3-run snapshot)

Date	Copilot Sessions	Success Rate	Avg Duration
2026-03-20	5	60.0%	3.5 min
2026-03-30	19	42.1%	2.8 min
2026-03-31	32	46.9%	2.4 min

• Volume: Growing rapidly (+280% in 24 hours) — more branches/PRs active
• Duration: Improving efficiency trend despite higher volume
• Success rate: Recovery from the Mar 30 dip; converging toward ~50% as steady state

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Actionable Recommendations

For Users Writing Task Descriptions

1. Prefer specific over investigative framing: Replace "investigate X failure again" with "identify root cause of X: [specific symptoms]". Include what's already been tried.

   • Before: investigate-documentation-unbloat-failure-again
   • After: fix-documentation-build-timeout-caused-by-large-asset-imports

2. Reference concrete acceptance criteria: Link to the failing CI step, error message, or expected output. Tasks like "Addressing comment on PR #N" succeed because the comment provides exact expected behavior.

3. Avoid compound tasks: Single-objective tasks (bug fix, PR comment) achieve 70-100% success. Multi-step investigations (update-cli-mcp-versions) require more iterations and have higher retry/skip rates.

For System Improvements

1. Archie eligibility visibility (High impact): Archie silently skips with no explanation in metadata. Adding a log message or comment on the PR explaining why it skipped would help users understand what's needed.

2. Conversation log OAuth integration (High impact): The OAuth gap blocking conversation transcript access persists for 10+ days. True behavioral analysis (loop detection, reasoning quality, tool usage patterns) requires this data. Without it, insights are limited to metadata patterns.

3. Action-required classification (Medium impact): Distinguish between review-bot action_required (expected/success) vs. true action-required blockers. Currently both show the same status, inflating apparent failure rates.

For Tool Development

1. Changeset Generator reliability: Failed today (1 session). Automation tools should have retry logic and clear failure messaging to avoid blocking release pipelines.

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Statistical Summary

Total Sessions Analyzed:     50
  Copilot Agent Sessions:    32
  Infrastructure Sessions:   18

Copilot Agent Results:
  Successful Completions:    15 (46.9%)
  Action Required:           12 (37.5%)  ← includes review bots (expected)
  Skipped:                    3 (9.4%)   ← Archie eligibility gate
  Cancelled:                  1 (3.1%)
  Failed:                     1 (3.1%)

Session Duration (copilot agents):
  Average:                   2.4 min
  Median:                    0.6 min
  Maximum:                   6.5 min (Q agent)
  Minimum:                   0.0 min

Branch Summary:
  fix-yaml-indentation-bug:  83% success (10/12)
  investigation branch:      25% success (2/8, review bot pattern)
  update-cli-mcp-versions:   37% success (11/30)

Loop Detection:              0 sessions (data gap — no transcripts)
Context Issues:              0 detected
Conversation Logs:           0 available (OAuth gap — 3rd consecutive run)

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Next Steps

• Investigate Archie eligibility gate — why is it skipping on all 3 sessions across 2 branches?
• Review investigate-documentation-unbloat-failure-again PR — 6 reviewers flagged actionable items
• Investigate Changeset Generator failure on update-cli-mcp-versions
• Resolve OAuth gap to enable conversation transcript analysis (blocked for 3+ analysis cycles)
• Monitor success rate trend — currently recovering toward ~50% steady state

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Analysis generated automatically on 2026-03-31
Run ID: §23795150206
Workflow: Copilot Session Insights

AI generated by Copilot Session Insights · history

• expires on Apr 1, 2026, 11:50 AM UTC

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-04-01T11:50:25.986Z.

Closed by Workflow