performance-optimization

基于度量与剖析定位并修复性能瓶颈，避免盲目优化。

先量化再优化：通过 profiling 和度量定位真实瓶颈，避免盲目优化带来不必要复杂度。适合在有性能指标、怀疑回归或需要改善 Core Web Vitals 和加载时间时使用。做法是找出瓶颈、修复再测，确保每次优化都有可观的收益。

# Performance Optimization

## Overview

Measure before optimizing. Performance work without measurement is guessing — and guessing leads to premature optimization that adds complexity without improving what matters. Profile first, identify the actual bottleneck, fix it, measure again. Optimize only what measurements prove matters.

## When to Use

- Performance requirements exist in the spec (load time budgets, response time SLAs)
- Users or monitoring report slow behavior
- Core Web Vitals scores are below thresholds
- You suspect a change introduced a regression
- Building features that handle large datasets or high traffic

**When NOT to use:** Don't optimize before you have evidence of