Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
This week gstack shipped security and release infrastructure improvements, including private two-architecture release scoring, attested scanner builds, and self-checking runtime gates to strengthen the shipping process. In parallel, the team overhauled evaluation policy and infrastructure—faster…
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 gstack'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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v1.91.27.0 fix(cso): runtime staging can finish and a qualified scanner catalog can ship (#3041)
v1.91.25.0 feat(cso): private two-architecture release scoring + self-checking runtime release gates (#3036)
v1.91.24.0 test: audit wave — PR evals keep finished work, honest ceilings, EVAL_POLICY v2, faster free suite (#3031)
v1.91.22.0 feat(cso): reviewed, attested scanner build inputs + fixes so scanner qualification can pass (#3035)
v1.91.17.0 fix: mvanhorn wave (checkpoint provenance, never-overwrite design images) (#3022)
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.
