recount
Enables users to ask about render performance in React and React Native apps via natural language, exposing tools for listing render hotspots and explaining component re-renders.
README
Recount
Your app re-renders too much, and nothing explains why in plain English. Recount does, for both React (web) and React Native, because it's built on the same fiber-level change-tracking data both platforms already share through React DevTools.
Instead of a flame graph or a console.log of raw prop diffs, Recount gives you a sentence:
ProductCardre-rendered 42 times this session (avg 2.1ms, 88.4ms total). ProponSelectchanged on every render. Scheduled byProductList.
Status
Early scaffold. @recount/core (the analysis engine) is implemented and
tested against a realistic fixture. The web and React Native connectors are
stubs — see SPIKE.md for exactly what's verified versus what
still needs a hands-on spike before they're real. Nothing here is faked or
guessed at: where something is uncertain, it's marked as uncertain rather
than papered over.
Packages
| Package | What it does |
|---|---|
@recount/core |
Platform-agnostic analysis engine. Takes normalized RenderCommit[] data, returns ranked, narrated Finding[]. No AI call — deterministic templates over real numbers. |
@recount/cli |
recount analyze <file> — run the engine against a JSON export or the bundled demo fixture and print findings to the terminal. |
@recount/mcp |
MCP server exposing list_render_hotspots and explain_component so Claude Code, Cursor, etc. can ask "why is this slow" directly. |
@recount/web |
Connector stub for browser React apps, built on react-devtools-inline. |
@recount/native |
Connector stub for React Native apps, built on react-devtools-core (the same package RN's own standalone DevTools uses). |
Why this is possible for both platforms
React Native's DevTools and the browser extension aren't two separate
tools — both are frontends for the same react-devtools-shared backend
agent embedded in the running app. They differ in transport (RN connects
over a WebSocket via react-devtools-core; web can attach via
react-devtools-inline's message-channel API), but the data shape —
which fiber committed, which props/state/hooks changed, who scheduled the
update — is identical. @recount/core only ever consumes that normalized
shape, so one analysis engine covers both.
Quick start (core + CLI, works today)
npm install
npm run build
node packages/cli/dist/index.js analyze --demo
This runs the bundled fixture (a ProductList / ProductCard scenario)
through the engine and prints the findings — no live app or DevTools
connection required yet.
Roadmap
- v1 (this scaffold): decode-and-rank engine, CLI, MCP server, demo fixture. No source-level root-cause analysis yet.
- v2: static-analysis heuristics layer — use
SerializedElement.stack/InspectedElement.sourceto point at the file/line responsible, and flag common causes (inline literals, unstable context values, missing memoization). Suppress noise for components already compiled by the React Compiler (compiledWithForget). - v3: real
@recount/weband@recount/nativeconnectors once the spikes in SPIKE.md are resolved, so Recount can attach to a running app instead of requiring a pre-exported JSON file.
Contributing
See CODE_OF_CONDUCT.md. Issues and PRs welcome once this is pushed to a public repo.
License
MIT
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