Frontend Review Performance

Frontend Review — Rendering Performance

You are reviewing the rendering performance of a React frontend. The most common AI-generated problems are: applying memo / useCallback / useMemo everywhere without measuring (or never at all), missing virtual scroll on large lists, and Context changes re-rendering unrelated components.

Procedure

1. Check package.json for performance-related packages (@tanstack/react-virtual, react-window, @welldone-software/why-did-you-render, etc.).
2. Grep for existing memo usage:

   grep -rn "React\.memo\|useMemo\|useCallback" src/ --include='*.tsx' --include='*.ts' | wc -l
   grep -rn "useVirtualizer\|FixedSizeList\|VariableSizeList" src/ --include='*.tsx' | wc -l
   grep -rn "useTransition\|useDeferredValue\|startTransition" src/ --include='*.tsx' | wc -l
   

3. Find the largest list-rendering components (look for .map( on arrays with no size guard).
4. Look for Context providers that change frequently and might cause wide re-renders.
5. For iot-ops / map / chart apps: check whether heavy rendering is in React state or in a canvas/WebGL ref.

Profiler-First Principle

Do not recommend memo / useCallback / useMemo without first profiling. Premature memoization adds cognitive overhead and can slow things down (each hook has a cost).

When writing the report, prefix every optimization recommendation with: "After profiling confirms X re-renders per interaction, consider Y."

Memoization Correctness

When memoization IS present (or being recommended), check for these common mistakes:

React.memo

• Is React.memo applied to components that receive stable props from their parents?
• Is the parent passing new object/array/function references on every render (negating memo)?

// Bad: new array on every render — memo is useless
<List items={data.filter(x => x.active)} />

// Good: stable reference with useMemo
const activeItems = useMemo(() => data.filter(x => x.active), [data]);
<List items={activeItems} />

useCallback

• Is useCallback used when passing callbacks to memo-wrapped children?
• Are dependency arrays accurate (no missing or unnecessary deps)?

// Bad: new function reference every render
<Button => handleDelete(id)} />

// Good: stable reference
const handleDeleteClick = useCallback(() => handleDelete(id), [id, handleDelete]);
<Button />

useMemo

• Is useMemo applied to expensive computations (filter/sort/aggregate on large arrays), not trivial ones (string concat, boolean check)?
• Are dependency arrays correct?

Virtual Scroll

For lists with 100+ items, virtual scroll is almost always necessary for acceptable performance.

Recommended: @tanstack/react-virtual (works with any layout, no CSS constraints).

const rowVirtualizer = useVirtualizer({
  count: items.length,
  getScrollElement: () => parentRef.current,
  estimateSize: () => 48,
});

return (
  <div ref={parentRef} style={{ height: '400px', overflow: 'auto' }}>
    <div style={{ height: `${rowVirtualizer.getTotalSize()}px`, position: 'relative' }}>
      {rowVirtualizer.getVirtualItems().map(vItem => (
        <div key={vItem.key} style={{ position: 'absolute', top: vItem.start, height: vItem.size }}>
          <ListItem item={items[vItem.index]} />
        </div>
      ))}
    </div>
  </div>
);

Flag any list that maps over an array > 100 items without virtual scroll.

Concurrent Features (React 18+)

• useTransition — wrap heavy non-urgent state updates so the UI stays responsive:

const [isPending, startTransition] = useTransition();
const handleFilterChange = (q: string) => {
  startTransition(() => setFilterQuery(q));
};

• useDeferredValue — defer a value that drives expensive rendering:

const deferredQuery = useDeferredValue(filterQuery);
const filtered = useMemo(() => items.filter(i => i.name.includes(deferredQuery)), [deferredQuery, items]);

Flag heavy filter/sort operations that block the main thread on every keystroke — these are candidates for useTransition.

Canvas / WebGL Separation (iot-ops / map / chart apps)

For data-dense UIs (real-time dashboards, map overlays, charting), React state is the wrong tool for per-frame updates.

Check whether:

• High-frequency data (sensor readings, map tile updates, chart data) bypasses React state and goes directly to canvas/WebGL via useRef.
• React only controls the layout shell and control panel; the canvas/WebGL layer handles rendering independently.

// Pattern: React controls mount; canvas reads data via ref
const canvasRef = useRef<HTMLCanvasElement>(null);
useEffect(() => {
  const renderer = new WebGLRenderer(canvasRef.current!);
  const unsub = sensorStream.subscribe(data => renderer.update(data)); // no setState
  return unsub;
}, []);

Output

Write <client-repo>/.frontend-review/report/latest/md/performance-review.md with:

• Profiling recommendation: what to measure first and how (React DevTools Profiler, why-did-you-render)
• Memoization gaps / misuse: file:line references for each finding
• Virtual scroll candidates: component name, estimated list size
• Concurrent feature opportunities: interactions that block the thread
• Canvas/WebGL assessment (if applicable): is high-frequency data bypassing React state?
• Recommended PRs: one optimization per PR, profiling benchmark in PR description

Keep under 200 lines. Recommendations without profiling evidence must be explicitly flagged as "unconfirmed — profile first."

Boundaries

• Do NOT run profiling sessions — describe what to measure and how.
• Do NOT propose optimization without a measurement plan.
• Do NOT touch source files in the client repo.
• State management architecture (store design, selector granularity) is covered by frontend-review-state.

Reference

• Checklist: 24-rendering-performance.md, 23-state-management.md, C2-lighthouse.md
• Tools: React DevTools Profiler, @welldone-software/why-did-you-render, @tanstack/react-virtual