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Plan and apply Terraform/OpenTofu via PR automation, using best practices for secure and scalable IaC workflows.
342 42 16 openLast shipped 3h ago
Plan and apply Terraform/OpenTofu via PR automation, using best practices for secure and scalable IaC workflows.
This week focused on improving reliability around artifact management and job tracking. The team fixed issues with pagination when loading artifacts, ensured they're sorted by creation time before downloading, and corrected how the system identifies the current job using check_run_id.
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 TF-via-PR'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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chore(deps): bump the tofu group across 2 directories with 1 update (#656)
chore(deps): bump the tofu group across 2 directories with 1 update (#651)
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.
