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The CLI shipped a series of dependency bumps across containerd logs, the Docker client, ansiterm, go-winio, and compression libraries to keep core components current. Work also went into improving cloud build help text parsing and refining process release tooling alongside test improvements for…
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Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in cli's README, structure, and recent commits — answers won't invent code they haven't seen.
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Merge pull request #7331 from docker/dependabot/github_actions/codeql-actions-4f351959ed
Merge pull request #7356 from nicksieger/cloud-resolver-interactive-input
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.
