| name | performance-checklist |
| description | Performance review checklist — hot paths, async-runtime discipline, streaming, query-client tuning, layout pre-measurement, token/cost. Load when reviewing perf-sensitive changes. |
Performance checklist
Authoritative: docs/knowledge/performance-rules.md. Bias perf findings toward MEDIUM unless there's a concrete on-a-hot-path regression.
Async runtime (HIGH if blocking)
- No blocking I/O or CPU-bound work on the tokio runtime — use
spawn_blocking / the data layer. SQLite never blocks the async runtime.
Hot paths
- Scraping — bounded concurrency, chromiumoxide page lifecycle reused, per-board rate limits.
- Embeddings / AI — batch sizing, streaming back-pressure, token/context budget minimized, cheapest viable model.
- Layout / export — pre-measure before render; don't re-shape fonts per glyph; pagination computed once.
- Data — no N+1 queries, no full-table scans on warm paths.
Renderer
- React Query
staleTime/gcTime tuned (desktop: no refetch-on-focus); large lists virtualized; avoid needless re-renders (stable deps, memo where measured).
Token efficiency
- Minimize prompt/context size in AI calls; reuse cached/embedded context; don't resend unchanged context.
External standards & best-practices (verified 2026-06-19)
Only genuinely 2026-changed item: React Compiler 1.0 (2025-10-07) flips the default from hand-memoize to compiler-memoize. CWV thresholds + Tokio/SQLite discipline are stable.
- Core Web Vitals (p75): LCP ≤ 2.5s · INP ≤ 200ms · CLS ≤ 0.1 (INP replaced FID 2024; ignore SEO claims of a tightened 2.0s LCP). Field via web-vitals lib; lab via Lighthouse. https://web.dev/articles/vitals
- React — with Compiler on, don't add (or rip out) manual
useMemo/useCallback/memo; without it, memoize only after a measured >16ms render. Virtualize long/unbounded lists (TanStack Virtual → ~viewport-only DOM); route-level code-split. https://react.dev/learn/react-compiler/introduction
- Rust/Tokio — never block the executor; offload std-blocking / >~1ms-CPU to
spawn_blocking (short) or a dedicated thread (long); bound CPU concurrency with a Semaphore; spawn_blocking tasks can't be aborted and block shutdown (shutdown_timeout). Profile: cargo flamegraph/samply (CPU), DHAT/heaptrack (heap), tokio-console (async stalls). https://docs.rs/tokio/latest/tokio/task/fn.spawn_blocking.html
- SQLite —
journal_mode=WAL + synchronous=NORMAL (loses only durability on power-loss); cache_size (negative = KiB), mmap_size 30–256MB read-heavy, temp_store=MEMORY; busy_timeout (e.g. 5000) to avoid SQLITE_BUSY; index WHERE/JOIN/ORDER-BY cols; prepared/bound statements; SQLite calls block → run on a pool inside spawn_blocking. https://www.sqlite.org/pragma.html
Common mistakes: hand-memoizing everything (or removing existing memo) with Compiler on; rendering full lists instead of virtualizing (INP/jank); sync SQLite/reqwest::blocking/std::fs on a tokio worker; unbounded spawn_blocking / parallel CPU (pool exhaustion); leaving synchronous=FULL under WAL; trusting SEO "2.0s LCP" over web.dev; micro-opt without a flamegraph.
