[prompt-clustering] Copilot Agent Prompt Clustering — 7 task themes across 1,000 PRs (Jun 27–Jul 17) #46203
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Smoke test ping for run 29576598634. ✅
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Smoke tap. Comment test ok.
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Summary
Task distribution by cluster
Merge/success rate by cluster
Full clustering analysis
Methodology
min_df=4,max_df=0.55, 800-term vocabulary.gh-aw logstooling was not available in this run. PR-level proxies (reviews, commits, files, diff size) are used for complexity instead.Cluster detail
Cluster 1: ESLint / linter-rule engineering
eslint-factory, fs-sync try/catch rules) and small refactors inpkg.Cluster 2: Daily agentic workflows, dashboards & eval reports
Cluster 3: Sous-chef self-improvement & AIC automation
sous-chef/AIC loop: security hardening, content redaction, memory stores. Heaviest review + commit activity.on.stepsin pre-activation for deterministic dispatch gating (merged)Cluster 4: Safe-outputs & pull-request infrastructure
Cluster 5: CLI / model version bumps & constants
Cluster 6: Workflow prompt & report-style normalization
lock.ymlacross many workflow files; broad, low-review edits.<details>guidance) (merged)Cluster 7: Docs site & reference content
engine.driverto frontmatter reference (merged)Success & complexity by cluster
Sample task table
A representative slice (up to 4 highest-centroid PRs per cluster; full set is 1000 PRs).
on.stepsin pre-activation for determi...engine.driverto frontmatter referenceOutcome distribution
Key findings
pkg/eslint edits are the agent's bread and butter.Recommendations
gh-aw logs; wiring per-run turn counts into the pipeline would let future analyses correlate prompt style with iteration cost directly.References: §29572958513
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