[ccr-loop] CCR Improvement Loop

[JennyPng]

Persistent CCR Improvement Loop reports for Azure/azure-sdk-for-python.

Each settled analysis window is appended below as a workflow-generated comment.

[JennyPng]

CCR Improvement Loop — Azure/azure-sdk-for-python (2026-01-15 → 2026-01-28)

Run ID: Azure_azure-sdk-for-python__2026-01-15__2026-01-28__uncapped__raw1.0
PRs in window: 99 merged · Schema: 1.1 · Tool: agentic-workflow

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Headline Metrics

Metric	Value	n	Confidence
CCR Coverage (PRs reviewed by CCR / eligible)	0.0%	0 / 81	⚠️ n < 10 — low confidence
CCR Recall Rate (substantive human asks CCR caught)	n/a	0 / 0	— no CCR comments this window
Addressed Rate (CCR comments acted on)	n/a	0 / 0	— no CCR comments this window
Rejected Rate	n/a	0 / 0	—
Ignored Rate	n/a	0 / 0	—
Critical Catch Rate	n/a	0 / 0	—
Bug-Fix PR Rate	25.3%	25 / 99	✅ n ≥ 10
Human Comments per PR	0.23	23 substantive / 99	✅
PR Cycle Time (mean hours)	22.1 h	— / 99	✅
Iterations per PR (mean)	1.00	— / 99	✅

⚠️ Methodology note: copilot-pull-request-reviewer[bot] posted zero inline comments across all 99 PRs in this window (ccrInlineCount = 0, ccrCoverage = 0.0). CCR was not active (or was silently skipped) for any PR. All recall, addressed, rejected, ignored, and critical-catch rates are undefined this window. The 119 human reviewer comments reviewed are entirely from human reviewers; none had a matching CCR signal to compare against.

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PR-Type Breakdown (agent-classified)

Type	Count	%
chore	41	41.4%
bug-fix	25	25.3%
feature	16	16.2%
refactor	5	5.1%
docs	5	5.1%
test	7	7.1%

97 of 99 PRs required agent classification (deterministic rules resolved 2). Bug-fix PR rate of 25.3% is a meaningful signal for future CCR prioritization.

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Substantive Human Asks (gap candidates, CCR absent)

24 of 119 human review comments were judged substantive and diff-detectable. Since CCR coverage was 0%, none can be attributed as gaps (no CCR was present to miss them). The top recurring categories among substantive asks:

Category	Count
error-handling	6
input-validation	3
api-design	5
type-safety	2
configuration	3
testing	3
security	1
performance	1

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Promoted Themes

No themes promoted this window. The promotion gate requires isGap = true (substantive + diff-detectable + CCR saw the code + CCR did not address), which cannot be satisfied when CCR coverage is 0%. There are no source-PR citations and no proposed instruction rules to generate.

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Proposed .github/ Instruction Rules

No rules proposed this window — requires at least one promoted theme.

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Evidence Gaps & Caveats

• CCR not active: The matched bot login (copilot-pull-request-reviewer[bot]) left no comments. Until CCR is enabled and active on this repo, recall and catch-rate metrics will remain n/a.
• 35 duplicate findingId collisions in prep (expected; findingId is a grouping key).
• 37 comments had no diff hunk (missingDiffHunk), reducing diff-detectability judgments to body-only.
• All PR classifications used prTypeSource: "agent" (95 of 97); low-confidence labels are possible for ambiguous titles.

Artifact: run JSON

Generated by CCR Improvement Loop · 74.8 AIC · ⌖ 6.46 AIC · ⊞ 5.5K · ◷

[JennyPng]

CCR Improvement Loop — Azure/azure-sdk-for-python (2026-01-01 → 2026-01-14)

Run ID: Azure_azure-sdk-for-python__2026-01-01__2026-01-14__uncapped__raw1.0
Cohort: 60 merged PRs · window: 2 weeks · model: agentic-workflow
Durable record: run-Azure_azure-sdk-for-python__2026-01-01__2026-01-14__uncapped__raw1.0.json

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Headline Metrics

Metric	Value	n	Trend signal
CCR Coverage	0.0%	0 / 47 eligible PRs	⚠️ CCR did not comment on any PR this window — ccrEnabledSince: null; all downstream CCR rates are unavailable
CCR Recall Rate	n/a	0 / 0	No CCR-reviewed PRs
Addressed Rate	n/a	0 / 0	No CCR comments
Rejected Rate	n/a	0 / 0	No CCR comments
Ignored Rate	n/a	0 / 0	No CCR comments
Critical Catch Rate	n/a	0 / 0	⚠️ low-confidence (no CCR comments)
Bug-Fix PR Rate	15.0%	9 / 60 PRs	Baseline established; ⚠️ refactor slice n=1 < 5, too small to trust
Human Comments / PR	0.75	45 / 60 PRs	Feature PRs drive review load (2.45 comments/PR median vs 0.23 for chore)
PR Cycle Time	32.3 h (median)	60 PRs	Feature PRs: 467 h; chore: 6.6 h; test: 169 h
Iterations / PR	1.0 (median)	60 PRs	Feature PRs: 10; chore: 0

PR-type breakdown (agent-classified — all 60 PRs had classificationStatus: needs-agent)

prType	Count	%
chore	26	43%
feature	11	18%
docs	8	13%
bug-fix	9	15%
test	5	8%
refactor	1	2%

Methodology notes

• CCR was not active in this window (ccrEnabledSince: null, ccrCoverage = 0/47). All CCR-dependent rates (recall, addressed, ignored, critical-catch) are n/a. The improvement loop will produce substantive CCR signal only after enablement.
• All 60 PRs required agent classification (no label / Conventional-Commit prefix matched). Classifications are prTypeSource: "agent", confidence adequate for aggregate rates.
• 17 findingId grouping collisions are expected (multi-line inline threads sharing a finding key); not data loss.
• Human reviewer activity is healthy: 45 substantive asks across 60 PRs, 36 diff-detectable. No asks could qualify as CCR gaps this window because ccrSawCode = false on every PR.

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Promoted Themes

None. Zero CCR gaps were computed (isGap = 0/69): the gap formula requires ccrSawCode = true, which is only set when CCR actually reviewed the PR. With CCR coverage at 0%, no gap evidence exists and no themes are eligible for promotion.

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Proposed .github/ Instruction Rules

No rules are proposed this window because there are no promoted themes. Once CCR is enabled and ccrCoverage > 0, the loop will surface instruction gaps and generate rule proposals for human approval.

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Low-Confidence Slices (n < 5 or rate n < 10)

• ccrCoverage[refactor]: n=1 — too small to report
• bugFixPrRate[refactor]: n=1 — too small to report

Generated by CCR Improvement Loop · 74 AIC · ⌖ 6.37 AIC · ⊞ 5.5K · ◷

[JennyPng]

CCR Improvement Loop — Azure/azure-sdk-for-python (2026-02-12 → 2026-02-25)

Methodology Note

Window: 2026-02-12 – 2026-02-25 · 130 merged PRs · cohort: uncapped · model: agentic-workflow.
CCR was not active in this window (matchedCcrLogin: copilot-pull-request-reviewer[bot], 0 CCR comments found). All 153 review comments were authored by human reviewers. Consequently, all recall/catch-rate metrics are n/a — they require at least one CCR comment. The window is useful as a pre-CCR baseline for bug-fix rate, human-review density, and theme prevalence.
Classification: 129/130 PRs resolved via agent rule; 1 already complete. Judge: 44/118 gap-candidates rated substantive (no gaps computed because ccrSawCode = false on all, consistent with no CCR activity).

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Headline Metrics

Metric	Value	n	Confidence
CCR coverage	0.0 %	0 / 111 eligible	⚠️ n/a — CCR not enabled
CCR recall rate	n/a	0 CCR comments	⚠️ n < 10
Addressed rate	n/a	0 CCR comments	⚠️ n < 10
Rejected rate	n/a	0 CCR comments	⚠️ n < 10
Bug-fix PR rate	16.9 %	22 / 130	✅ n ≥ 10
Human comments / PR	0.29	38 active PRs	✅ baseline
Median PR cycle time	20.6 days	130 PRs	✅ baseline

⚠️ Slices with n < 5 are flagged unreliable: refactor (n=3) and test (n=2) sub-cohorts for both ccrCoverage and bugFixPrRate.

Trend read: This is the first recorded window for this repo; no trend comparison is possible yet. Bug-fix PR rate at ~17 % is a reasonable baseline for Azure SDK Python (mix of codegen, feature, and maintenance PRs). CCR needs to be enabled before improvement signal can be measured.

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Promoted Themes (human reviewer asks CCR would need to cover)

All themes are promotedVia: opinion (no gaps, since CCR was absent — these represent recurring human-reviewer asks that CCR should catch once enabled).

Rank	Theme	Asks	PRs	Promoted via
1	api-design	4	#43691, #44817, #45066	opinion (n ≥ 3)
2	type-safety	4	#43691, #44116, #45141	opinion (n ≥ 3)
3	error-handling	3	#44116, #44873, #45286	opinion (n ≥ 3)
4	documentation	3	#44873, #45335	opinion (n ≥ 3)
5	configuration	3	#45101, #45141, #45364	opinion (n ≥ 3)
6	style-naming	3	#44817, #45254	opinion (n ≥ 3)

other (21 asks) is excluded from promotion per controlled-vocabulary rules.

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Proposed .github/ Instruction Rules (for human approval — no files edited)

1. api-design · scope: repo-wide

When reviewing SDK management-plane or data-plane packages, flag any public client constructor, method signature, or return type that does not match the latest approved API spec version; request regeneration from the spec before merging.

2. type-safety · scope: **/*.py

Flag uses of untyped dict, bare Any, or missing Optional/None guards on public-facing method parameters and return values; suggest precise type annotations consistent with the existing type stubs or _models.py definitions.

3. error-handling · scope: **/*.py

Verify that exceptions caught in retry/fallback paths are re-raised or logged at the correct severity level (e.g., do not log AzureError as logging.error if the caller is expected to recover); ensure every timeout or deadline-exceeded path raises a typed exception rather than silently returning.

4. documentation · scope: **/CHANGELOG.md

Changelog entries for new features or behavior changes must describe the user-visible effect, not just the internal implementation; flag entries that will become stale when a referenced PR is later updated.

5. configuration · scope: **/*.py

When a constructor or factory function accepts a configuration dict, ensure the code handles all three states (None / False / populated dict) explicitly and that live-vs-playback test guards use a version-independent mechanism rather than a hardcoded package version check.

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Next Steps

1. Enable CCR on Azure/azure-sdk-for-python (set copilot-pull-request-reviewer[bot] as a required reviewer or opt in via repo settings) so the next window produces recall/coverage signal.
2. Review proposed rules above and merge approved ones into .github/copilot-instructions.md or path-scoped *.instructions.md files.
3. The durable run record is attached as a workflow artifact: #aw_run_json.

Generated by CCR Improvement Loop · 59.9 AIC · ⌖ 6.56 AIC · ⊞ 5.5K · ◷

[JennyPng]

CCR Improvement Loop — Azure/azure-sdk-for-python (2026-01-29 → 2026-02-11)

Methodology note

Window: 14 days · 133 merged PRs · cohort: uncapped · model: agentic-workflow
CCR login matched: copilot-pull-request-reviewer[bot]
Critical finding: CCR made 0 inline comments across all 133 eligible PRs in this window. ccrCoverage = 0 % (0/106 eligible PRs received any CCR review). All CCR-dependent metrics (recall, addressed/rejected/ignored rates, critical-catch rate) are undefined due to zero denominator. This is not a measurement gap — it is a direct signal that CCR was not active or not triggered on this repository during the window.

PR-type classification: 4 PRs resolved deterministically; 129 resolved by agent judgment.
Distribution: chore 61, bug-fix 32, feature 21, docs 10, test 5, refactor 4.

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Headline metrics

Metric	Value	n	Confidence
CCR coverage (PRs receiving any CCR review)	0 %	0/106 eligible	✅ n ≥ 10
CCR recall rate (CCR caught same concern as human)	n/a	0/0	— zero denominator
Addressed rate (CCR comments acted on)	n/a	0/0	— zero denominator
Rejected rate	n/a	0/0	— zero denominator
Ignored rate	n/a	0/0	— zero denominator
Bug-fix PR rate	24.1 %	32/133	✅ n ≥ 10
Critical-catch rate	n/a	0/0	— zero denominator
Human comments / PR	0.61	81/133	✅ n ≥ 10

Coverage slices (all 0 % — CCR inactive)

PR type	CCR coverage	n	Confidence
bug-fix	0 %	0/32	✅
feature	0 %	0/21	✅
chore	0 %	0/34	✅
test	0 %	0/5	⚠️ n < 5
docs	0 %	0/10	✅
refactor	0 %	0/4	⚠️ n < 5

Size-bucket coverage: S 0/41 · M 0/16 · L 0/21 · XL 0/28 — all 0 %.

Bug-fix PR rate trend

24.1 % (32/133) of merged PRs were bug-fixes. No prior window data is available in this run for trend comparison. The refactor slice (n=4) is below the n≥5 reliability threshold and is flagged low-confidence.

Cycle time (informational)

PR type	Median merge time
bug-fix	77.1 h
feature	45.9 h
test	25.3 h
chore	5.8 h
docs	2.7 h
refactor	4.6 h

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Promoted themes

None. With ccrCoverage = 0 %, no PR was reviewed by CCR, so ccrSawCode = false for every comment. The gap condition (isSubstantive ∧ diffDetectable ∧ ccrSawCode ∧ ¬ccrAddressedConcern) evaluates to false for all 104 judged human comments. Zero gaps → zero themes promoted.

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Proposed instruction rules

No rules proposed this window (promotion gate requires at least one promoted theme with sufficient gap count; none qualify while CCR coverage is zero).

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Action item

The dominant signal for this window is CCR not running. Before the next measurement window, verify that:

1. The copilot-pull-request-reviewer[bot] is enabled and configured for Azure/azure-sdk-for-python.
2. There is no branch-protection or PR-labeling rule silently suppressing CCR triggers.
3. The matched login in meta.json (copilot-pull-request-reviewer[bot]) matches the actual bot identity in use.

Until CCR coverage is non-zero, recall, addressed-rate, and theme-based improvement rules cannot be measured.

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Run artifact: #aw_run_py_jan29 · schema 1.1 · vocab hash sha256:ea8ebc4...

Generated by CCR Improvement Loop · 51.5 AIC · ⌖ 6.5 AIC · ⊞ 5.5K · ◷