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Add performance benchmarks to hot-path functions that run on every state update (settings, auth, etc.) to establish baselines and catch regressions
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Based on SOC occupation classification
Systematically reduce Go function cost below the 80-unit inlining budget for hot-path performance
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| name | benchmark-hotpath |
| description | Add performance benchmarks to hot-path functions that run on every state update (settings, auth, etc.) to establish baselines and catch regressions |
Hot-path functions in this codebase (like diffObjects, fetch, store operations) run on every state update. Establish performance baselines with Jest benchmarks.
Identify the function — find where it's called frequently (search for usage patterns, check state updates).
Create benchmark file — add a new describe('X benchmarks') block to the existing test file (e.g., utils/__tests__/diff.test.ts).
Design test scenarios — cover these categories:
Set iteration counts — choose iterations so each test completes in ~20-50ms:
Use performance.now() — measure elapsed time, assert it's under 500ms (sanity check).
Run with filter — bun jest diff --testNamePattern="benchmarks"
describe('diffObjects benchmarks', () => {
describe('primitive throughput', () => {
it('primitives (same value)', () => {
const a = 42;
const b = 42;
const iterations = 1_000_000;
const start = performance.now();
for (let i = 0; i < iterations; i++) {
diffObjects(a, b);
}
const elapsed = performance.now() - start;
expect(elapsed).toBeLessThan(500); // sanity: should be fast
});
});
});
--testNamePattern="benchmarks" to run only benchmarks