Reading the repo — stats and the shipped feed land in about ten seconds…
The mobile app received several quality-of-life improvements this week. Key additions include wakelock support for learn and practice modes to keep the screen active, date range selection for the opening explorer, and offline access improvements for saved themes. The team also tackled…
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 mobile'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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test: drop tests that cannot fail and the dead surface they kept alive (#3785)
Hoist a loop-invariant mainline walk out of the PGN tree part loop (#3786)
ci: pin actions, add timeouts, fix release permissions, review dependencies (#3783)
Stop rebuilding the over-the-board player table on every clock tick (#3791)
Revert "Upload the debug symbols of libapp.so to the Play Console" (#3771)
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.
