ci(git_perf): rerun cross-runner variance experiment to confirm findings#734
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kaihowl wants to merge 4 commits into
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ci(git_perf): rerun cross-runner variance experiment to confirm findings#734kaihowl wants to merge 4 commits into
kaihowl wants to merge 4 commits into
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After the analysis step, print verdict and CoV tables to stdout (readable via job logs through MCP tools) and commit updated markdown/PNG results back to the branch automatically. Also add workflow-level `contents: write` permission required for the commit-push step. https://claude.ai/code/session_01FqAWLBbGE9MFHDRCFBJdKy
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Performance ReportAudit ResultsMeasurement Storage SizeCreated by git-perf |
When two workflow dispatches finish around the same time, both analyze jobs try to push to the same branch and one gets rejected. Since the committed files are fully generated content, force push is correct — last run wins. https://claude.ai/code/session_01FqAWLBbGE9MFHDRCFBJdKy
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Summary
permissions: contents: writetocross-runner-variance.ymlso the analyze job can commit results back to the branchdocs/ci-variance-experiment/and pushes them back automatically after each runPurpose
Reruns the experiment to confirm previous findings (min+MAD still best for CI benchmarking) after the runner pool may have changed.
Test plan
cross-runner-variance.ymlon this branch viaworkflow_dispatchdocs/ci-variance-experiment/back to this branchhttps://claude.ai/code/session_01FqAWLBbGE9MFHDRCFBJdKy
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