React Component Performance
Overview
Identify render hotspots, isolate expensive updates, and apply targeted optimizations without changing UI behavior.
Workflow
- Reproduce or describe the slowdown.
- Identify what triggers re-renders (state updates, props churn, effects).
- Isolate fast-changing state from heavy subtrees.
- Stabilize props and handlers; memoize where it pays off.
- Reduce expensive work (computation, DOM size, list length).
- Validate: open React DevTools Profiler → record the interaction → inspect the Flamegraph for components rendering longer than ~16 ms → compare against a pre-optimization baseline recording.
Checklist
- Measure: use React DevTools Profiler or log renders; capture baseline.
- Find churn: identify state updated on a timer, scroll, input, or animation.
- Split: move ticking state into a child; keep heavy lists static.
- Memoize: wrap leaf rows with
memoonly when props are stable. - Stabilize props: use
useCallback/useMemofor handlers and derived values. - Avoid derived work in render: precompute, or compute inside memoized helpers.
- Control list size: window/virtualize long lists; avoid rendering hidden items.
- Keys: ensure stable keys; avoid index when order can change.
- Effects: verify dependency arrays; avoid effects that re-run on every render.
- Style/layout: watch for expensive layout thrash or large Markdown/diff renders.
Optimization Patterns
Isolate ticking state
Move a timer or animation counter into a child so the parent list never re-renders on each tick.
Stabilize callbacks with useCallback + memo
Prefer derived data outside render
Additional patterns
- Split rows: extract list rows into memoized components with narrow props.
- Defer heavy rendering: lazy-render or collapse expensive content until expanded.
Profiling Validation Steps
- Open React DevTools → Profiler tab.
- Click Record, perform the slow interaction, then Stop.
- Switch to Flamegraph view; any bar labeled with a component and time > ~16 ms is a candidate.
- Use Ranked chart to sort by self render time and target the top offenders.
- Apply one optimization at a time, re-record, and compare render counts and durations against the baseline.
Example Reference
Load references/examples.md when the user wants a concrete refactor example.


