Reading the repo — stats and the shipped feed land in about ten seconds…
The week focused primarily on keeping dependencies current across the infrastructure-as-code setup, with numerous container image and Terraform provider updates rolled out. Notable additions include node-problem-detector with a new dashboard for cluster monitoring, retry logic added to Terraform…
Get this in your inbox every Monday →A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
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 iac's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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feat(container)!: Update image ghcr.io/prometheus-community/charts/kube-prometheus-stack ( 91.9.0 → 92.0.0 ) (#2781)
feat(container): update image mirror.gcr.io/ollama/ollama ( 0.35.1 → 0.40.0 ) (#2779)
feat(container): update image ghcr.io/actions/actions-runner ( 2.337.0 → 2.338.0 ) (#2776)
chore(container): update image ghcr.io/maximhq/bifrost ( v2.2.5 → v2.2.6 ) (#2773)
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.
