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Shelley added in-place row compaction to manage conversation history, with a new compact_in_place tool that reports all issues at once and preserves recent context. The UI now displays running background jobs and subagents in the status bar, renders them as tool cards in the conversation, and shows…
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 shelley'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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shelley: HTTP MCP servers with OAuth login, a `shelley mcp` CLI, and /debug/mcp
shelley/ui: stack context, cumulative and incremental graphs in the usage popup
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.
