performance-audit

name	performance-audit
description	Deep performance and optimization audit by senior WordPress developer
context	fork
agent	Explore
allowed-tools	Read, Glob, Grep, Bash(npm run *), Bash(find *), Bash(grep *), Bash(ls *)

Act as a senior WordPress plugin developer with expertise in web performance optimization, Core Web Vitals, and React performance patterns. Conduct a comprehensive performance audit of the DesignSetGo WordPress plugin, identifying bottlenecks, optimization opportunities, and providing actionable fixes.

Performance Review Scope

This is a DEEP PERFORMANCE AUDIT focusing exclusively on performance optimization across all layers: frontend, editor, database, asset loading, bundle size, rendering, and runtime performance.

Core Performance Review Areas

1. Bundle Size Analysis (Critical)

JavaScript Bundles:

• Total plugin JS size < 100KB gzipped (all blocks combined)
• Individual block JS < 10KB gzipped
• Shared dependencies properly extracted
• Code splitting implemented where appropriate
• Tree shaking working correctly
• No duplicate dependencies across bundles
• Development code removed from production builds

CSS Bundles:

• Total plugin CSS < 50KB gzipped
• Individual block CSS < 5KB gzipped
• Shared styles properly extracted
• No unused CSS rules
• Critical CSS inlined (if applicable)
• CSS variables used for theme values

Analysis Commands:

# Check build output sizes
ls -lh build/ | grep -E "\.js$|\.css$"

# Detailed bundle analysis
du -sh build/*.js build/*.css | sort -rh

# Gzipped sizes (production simulation)
find build/ -name "*.js" -o -name "*.css" | xargs -I {} sh -c 'echo "{}: $(gzip -c {} | wc -c) bytes gzipped"'

# Check for duplicate dependencies
grep -r "import.*from" src/ | grep -E "react|lodash|wp-" | sort | uniq -c | sort -rn

Optimization Targets:

• Blocks: Each < 10KB JS + 5KB CSS
• Extensions: Each < 5KB JS + 2KB CSS
• Shared utilities: < 15KB total
• Total plugin assets: < 100KB gzipped

2. Asset Loading Strategy (Critical)

Conditional Loading:

• Assets only load when blocks are actually used on page
• No global asset loading unless necessary
• has_block() or has_blocks() used for conditional enqueuing
• Block-specific assets registered per-block
• Shared dependencies loaded once (not duplicated)

Asset Dependencies:

• Minimal dependencies declared
• WordPress core dependencies used (not duplicated)
• No unnecessary polyfills
• Dependencies properly versioned
• Asset handles unique and prefixed

Check Files:

• includes/class-assets.php - Main asset loader
• includes/blocks/class-loader.php - Block registration
• All block.json files - Asset declarations

Current Implementation Analysis:

// Check current loading strategy
grep -A 10 "wp_enqueue" includes/class-assets.php

// Check block asset registration
find src/blocks -name "block.json" -exec grep -H "script\|style" {} \;

// Find unconditional loading
grep -r "wp_enqueue_script\|wp_enqueue_style" includes/ | grep -v "is_admin\|has_block"

Best Practice Pattern:

// ✅ GOOD - Conditional loading
public function enqueue_block_assets() {
    if (!has_block('designsetgo/block-name')) {
        return;
    }
    wp_enqueue_script('designsetgo-block-name');
}

// ❌ BAD - Always loads
public function enqueue_assets() {
    wp_enqueue_script('designsetgo-all-blocks');
}

3. Frontend JavaScript Performance (Critical)

Runtime Performance:

• No JavaScript on frontend unless absolutely necessary
• Event listeners use delegation (not individual handlers)
• No memory leaks (intervals/timeouts cleaned up)
• Passive event listeners for scroll/touch
• requestAnimationFrame for animations
• Intersection Observer for lazy loading
• Debouncing/throttling for frequent events

DOM Manipulation:

• Minimal DOM queries (cache selectors)
• Batch DOM updates (avoid layout thrashing)
• Use DocumentFragment for multiple insertions
• Avoid forced synchronous layouts
• CSS transitions over JavaScript animations

Check Frontend Scripts:

# Find all frontend JavaScript
find src/ -name "view.js" -o -name "frontend.js"

# Check for performance anti-patterns
grep -r "setInterval\|setTimeout\|addEventListener" src/*/view.js src/*/frontend.js

# Check for DOM queries in loops
grep -A 5 "forEach\|for\|while" src/*/view.js | grep "querySelector\|getElementById"

Performance Patterns:

// ✅ GOOD - Event delegation, cached selectors
const container = document.querySelector('[data-dsgo-tabs]');
container?.addEventListener('click', (e) => {
    const tab = e.target.closest('[data-dsgo-tab]');
    if (!tab) return;
    handleTabClick(tab);
});

// ❌ BAD - Individual listeners, repeated queries
document.querySelectorAll('[data-dsgo-tab]').forEach(tab => {
    tab.addEventListener('click', () => {
        document.querySelector('[data-dsgo-tabs]').classList.add('active');
    });
});

// ✅ GOOD - Passive listeners, cleanup
const handleScroll = throttle(() => { /* ... */ }, 100);
window.addEventListener('scroll', handleScroll, { passive: true });

// Cleanup on unload
window.addEventListener('unload', () => {
    window.removeEventListener('scroll', handleScroll);
});

4. React Editor Performance (High Priority)

Component Optimization:

• No useEffect for simple calculations (use useMemo instead)
• Expensive calculations wrapped in useMemo
• Event handlers wrapped in useCallback
• No unnecessary re-renders (use React DevTools Profiler)
• Large lists use windowing (react-window/react-virtualized)
• Conditional rendering optimized
• Lazy loading for heavy components

Attribute Updates:

• Batch attribute updates when possible
• No setAttributes in loops
• Avoid setting attributes that haven't changed
• Use functional updates for derived state

Check Editor Performance:

# Find useEffect usage (often unnecessary)
grep -r "useEffect" src/blocks/*/edit.js -A 3

# Find missing memoization
grep -r "const.*=" src/blocks/*/edit.js | grep -v "useMemo\|useCallback\|useState\|useSelect"

# Check for expensive operations
grep -r "map\|filter\|reduce\|sort" src/blocks/*/edit.js

Performance Patterns:

// ❌ BAD - useEffect for simple calculation
useEffect(() => {
    setComputedValue(width * height);
}, [width, height]);

// ✅ GOOD - useMemo for calculation
const computedValue = useMemo(() => width * height, [width, height]);

// ❌ BAD - Inline function causes re-renders
<Button onClick={() => setAttributes({ value: 'new' })}>

// ✅ GOOD - Memoized callback
const handleClick = useCallback(() => {
    setAttributes({ value: 'new' });
}, []);
<Button onClick={handleClick}>

// ❌ BAD - Setting attributes in loop
items.forEach(item => {
    setAttributes({ [item.key]: item.value });
});

// ✅ GOOD - Batch updates
const updates = items.reduce((acc, item) => ({
    ...acc,
    [item.key]: item.value
}), {});
setAttributes(updates);

5. CSS Performance (High Priority)

Selector Performance:

• Low specificity selectors (use :where() for plugin styles)
• Scoped to block classes (.wp-block-designsetgo-*)
• Avoid universal selectors (*)
• Avoid deep descendant selectors (.a .b .c .d)
• No !important (except accessibility overrides)
• Class-based (not ID or tag selectors)

CSS Optimization:

• CSS variables for theme values
• No duplicate rules
• Mobile-first media queries
• Contain property for isolated blocks
• content-visibility for off-screen content
• will-change used sparingly

Check CSS Quality:

# Find high-specificity selectors
grep -r "\..*\..*\..*\." src/blocks/*/style.scss

# Find !important usage
grep -r "!important" src/ --include="*.scss" --include="*.css"

# Check for universal selectors
grep -r "\* {" src/ --include="*.scss"

# Find duplicate rules
cat build/style-index.css | grep -E "^\.[a-z-]+ \{" | sort | uniq -d

Performance Patterns:

// ✅ GOOD - Low specificity with :where()
:where(.wp-block-designsetgo-stack) {
    display: flex;
}

// ❌ BAD - High specificity
.wp-block-designsetgo-stack.custom-class.is-variant {
    display: flex;
}

// ✅ GOOD - Scoped to block
.wp-block-designsetgo-stack {
    .stack__item {
        flex: 1;
    }
}

// ❌ BAD - Global scope
.stack__item {
    flex: 1;
}

// ✅ GOOD - Performance optimization
.wp-block-designsetgo-gallery {
    contain: layout style paint;
    content-visibility: auto;
}

6. Database & PHP Performance (Medium Priority)

Database Queries:

• No database queries on every page load
• Transients used for expensive operations
• Query results cached
• Options not autoloaded unless necessary
• Batch operations instead of loops
• Indexes on custom tables (if applicable)

PHP Optimization:

• Minimal PHP execution on frontend
• No unused code paths
• Efficient loops (avoid nested queries)
• Early returns to skip unnecessary work
• Block registration optimized
• Pattern registration lazy-loaded

Check PHP Performance:

# Find database queries
grep -r "wpdb\|get_option\|update_option\|get_transient" includes/ --include="*.php"

# Check for queries in loops
grep -A 10 "foreach\|for\|while" includes/ | grep "wpdb\|get_"

# Find autoloaded options
grep -r "add_option\|update_option" includes/ | grep -v "false"

Performance Patterns:

// ❌ BAD - Query in loop
foreach ($blocks as $block) {
    $meta = get_post_meta($block->ID);
}

// ✅ GOOD - Batch query
update_meta_cache('post', array_column($blocks, 'ID'));
foreach ($blocks as $block) {
    $meta = get_post_meta($block->ID); // Cached
}

// ❌ BAD - No caching
$patterns = $this->get_all_patterns(); // Expensive

// ✅ GOOD - Transient caching
$patterns = get_transient('dsg_patterns');
if (false === $patterns) {
    $patterns = $this->get_all_patterns();
    set_transient('dsg_patterns', $patterns, HOUR_IN_SECONDS);
}

7. Image & Media Optimization (Medium Priority)

Image Handling:

• Lazy loading attribute on images (loading="lazy")
• Responsive images (srcset/sizes)
• Modern formats supported (WebP, AVIF)
• Appropriate image sizes used
• No Base64 images in CSS (except tiny icons)
• SVG optimization

Video Handling:

• Lazy loading on videos
• Poster images for videos
• No autoplay (except muted)
• Appropriate video formats

Check Media Usage:

# Find image tags
grep -r "<img" src/blocks/*/save.js

# Check for lazy loading
grep -r "loading=" src/blocks/*/save.js

# Find video usage
grep -r "<video" src/blocks/*/save.js

8. Webpack & Build Optimization (Medium Priority)

Build Configuration:

• Production mode enabled
• Minification enabled
• Tree shaking working
• Code splitting configured
• Source maps disabled in production
• Bundle analyzer used to identify bloat
• Dependencies externalized (WordPress packages)

Check Build Config:

// Review webpack.config.js
- mode: 'production'
- optimization.minimize: true
- optimization.splitChunks: configured
- externals: WordPress dependencies
- devtool: false (production)

Optimization Opportunities:

// Check for large dependencies
npm list --depth=0 --long

// Analyze bundle
npm run build -- --analyze

// Check for unused dependencies
npm install -g depcheck
depcheck

9. Core Web Vitals Impact (High Priority)

Largest Contentful Paint (LCP):

• Block assets load quickly (< 2.5s)
• No render-blocking resources
• Images optimized and lazy-loaded
• Fonts preloaded (if custom fonts)
• Critical CSS inlined (if applicable)

Cumulative Layout Shift (CLS):

• Dimensions set on images/videos
• No dynamic content insertion above fold
• Skeleton screens for loading states
• Reserved space for ads/embeds
• Fonts use font-display: swap

First Input Delay (FID) / INP:

• Minimal JavaScript execution time
• Long tasks broken up
• Main thread not blocked
• Input handlers optimized
• No synchronous XHR

Total Blocking Time (TBT):

• JavaScript bundles small
• Code split for route-based loading
• Third-party scripts deferred
• Web Workers for heavy computation

Testing Commands:

# Lighthouse CI (if configured)
npm run test:performance

# Measure bundle impact
ls -lh build/*.js | awk '{sum+=$5} END {print "Total JS:", sum/1024, "KB"}'

# Check for render-blocking resources
grep -r "enqueue_script\|enqueue_style" includes/ | grep -v "defer\|async"

10. Memory & Resource Management (Medium Priority)

Memory Leaks:

• Event listeners removed on cleanup
• Timers (setTimeout/setInterval) cleared
• No circular references
• Large objects released after use
• React components properly unmounted

Resource Cleanup:

• Observers disconnected (IntersectionObserver, ResizeObserver)
• Fetch requests aborted on cleanup
• Web Workers terminated
• Cache cleared when appropriate

Check for Leaks:

# Find event listeners without cleanup
grep -A 10 "addEventListener" src/ | grep -B 10 -v "removeEventListener"

# Find timers without cleanup
grep -A 10 "setInterval\|setTimeout" src/ | grep -B 10 -v "clearInterval\|clearTimeout"

# Find observers without cleanup
grep -A 10 "Observer" src/ | grep -B 10 -v "disconnect\|unobserve"

Performance Testing Methodology

1. Baseline Measurements

# Build the plugin
npm run build

# Check build output
ls -lh build/

# Measure total bundle size
find build/ -type f \( -name "*.js" -o -name "*.css" \) -exec ls -lh {} \; | awk '{total+=$5} END {print "Total:", total/1024/1024, "MB"}'

2. Editor Performance Testing

• Open post with 10 plugin blocks
• Measure time to interactive
• Check for lag when typing
• Test block insertion speed
• Monitor React DevTools Profiler
• Check browser DevTools Performance tab

3. Frontend Performance Testing

• Test page with 10 plugin blocks
• Run Lighthouse audit
• Check Core Web Vitals
• Monitor Network waterfall
• Test on slow 3G connection
• Test on mobile device

4. Load Testing

• Page with 50+ blocks
• Rapid block insertion
• Multiple nested containers
• Large galleries/lists
• Memory profiling over time

Output Requirements

Generate a comprehensive PERFORMANCE-AUDIT.md file with this structure:

# DesignSetGo WordPress Plugin - Performance & Optimization Audit

**Audit Date:** YYYY-MM-DD
**Plugin Version:** X.X.X
**Auditor Role:** Senior WordPress Performance Engineer
**Environment:** WordPress X.X, PHP X.X


## Executive Summary

### Overall Performance Grade
[A+, A, B+, B, C+, C, D, F]

### Performance Impact Score
[Excellent | Good | Fair | Poor | Critical]

### Key Metrics
- **Total Bundle Size:** XXX KB (gzipped: XXX KB)
- **Largest Block Bundle:** XXX KB
- **Frontend JS:** XXX KB (Target: < 50KB)
- **Critical Issues:** XX
- **Optimization Opportunities:** XX
- **Estimated Performance Gain:** XX%

### Quick Wins (High Impact, Low Effort)
1. [Optimization that provides biggest benefit for least work]
2. [Optimization that provides biggest benefit for least work]
3. [Optimization that provides biggest benefit for least work]


## 🔴 CRITICAL PERFORMANCE ISSUES

### 1. [Issue Title]

**Impact:** [Blocks LCP | Increases TBT | Causes Memory Leak | etc.]
**Files Affected:** `path/to/file.js:123`, `path/to/file.php:456`

**Problem:**
[Clear description of performance issue and measurable impact]

**Current Measurement:**
- Metric before: XXX ms / XX KB
- Target: XXX ms / XX KB
- Impact on users: [Description]

**Current Code:**
```javascript
// Problematic code

Optimized Code:

// Performance-optimized code with explanation

Performance Gain:

• Bundle size reduction: XX KB → XX KB (-XX%)
• Runtime improvement: XX ms → XX ms (-XX%)
• Memory reduction: XX MB → XX MB (-XX%)

Implementation Time: [15 min | 1 hour | 4 hours | 1 day] Priority: Critical - Fix immediately

🟡 HIGH PRIORITY OPTIMIZATIONS

[Same detailed format as critical issues]

🟢 MEDIUM PRIORITY OPTIMIZATIONS

Bundle Size Optimizations

[List opportunities with size savings]

CSS Optimizations

[List opportunities with specificity/render improvements]

React Performance

[List unnecessary re-renders, missing memoization]

🔵 LOW PRIORITY IMPROVEMENTS

Code Quality

[Refactoring for better maintainability]

Future Optimizations

[Ideas for future consideration]

📊 Performance Metrics Dashboard

Bundle Size Analysis

Block Name          | JS (raw) | JS (gzip) | CSS (raw) | CSS (gzip) | Status
--------------------|----------|-----------|-----------|------------|--------
flex                | 15.2 KB  | 4.8 KB    | 3.1 KB    | 1.2 KB     | ✅ Good
grid                | 32.5 KB  | 12.3 KB   | 8.2 KB    | 3.1 KB     | ⚠️ Large
accordion           | 8.1 KB   | 2.9 KB    | 2.4 KB    | 0.9 KB     | ✅ Excellent
--------------------|----------|-----------|-----------|------------|--------
TOTAL               | 180 KB   | 65 KB     | 42 KB     | 18 KB      | ⚠️ Review

Asset Loading Analysis

Scenario                          | Assets Loaded | Total Size | Status
----------------------------------|---------------|------------|--------
Empty page (no blocks)            | 0             | 0 KB       | ✅ Perfect
Page with 1 block                 | 2 files       | 15 KB      | ✅ Good
Page with 5 different blocks      | 8 files       | 85 KB      | ⚠️ Review
Page with 10+ blocks              | 12 files      | 150 KB     | 🔴 High

Core Web Vitals Impact

Metric | Without Plugin | With Plugin | Impact | Target | Status
-------|----------------|-------------|--------|--------|--------
LCP    | 1.2s          | 1.8s        | +0.6s  | <2.5s  | ✅ Pass
FID    | 45ms          | 120ms       | +75ms  | <100ms | ⚠️ Warn
CLS    | 0.02          | 0.05        | +0.03  | <0.1   | ✅ Pass
TBT    | 150ms         | 380ms       | +230ms | <300ms | 🔴 Fail

Memory Usage Analysis

Test Scenario               | Memory Used | Memory Leaks | Status
----------------------------|-------------|--------------|--------
10 blocks in editor         | 85 MB       | None         | ✅ Good
50 blocks in editor         | 420 MB      | None         | ⚠️ High
Editor after 10min use      | 180 MB      | 15 MB growth | 🔴 Leak
Frontend with 20 blocks     | 25 MB       | None         | ✅ Good

🎯 OPTIMIZATION ROADMAP

Phase 1: Critical Fixes (Week 1)

Goal: Fix performance blockers preventing production deployment Estimated Impact: 40% performance improvement

• [Critical Issue #1] - File.js:123 (4 hours)
• [Critical Issue #2] - File.php:456 (2 hours)
• [Critical Issue #3] - File.scss:789 (1 hour)

Success Metrics:

• Total bundle size < 100KB gzipped
• TBT < 300ms
• No memory leaks

Phase 2: High-Impact Optimizations (Week 2)

Goal: Major performance improvements with reasonable effort Estimated Impact: 25% additional improvement

• Implement code splitting (1 day)
• Optimize large blocks (4 hours)
• Add React memoization (4 hours)
• Optimize CSS specificity (2 hours)

Success Metrics:

• Individual blocks < 10KB JS
• LCP impact < 0.3s
• FID < 100ms

Phase 3: Polish & Optimization (Week 3)

Goal: Fine-tune for optimal performance Estimated Impact: 10% additional improvement

• CSS optimization (4 hours)
• Image lazy loading (2 hours)
• Frontend JS optimization (4 hours)
• Cache implementation (2 hours)

Success Metrics:

• All Core Web Vitals in "Good" range
• Bundle size < 80KB gzipped
• Zero console warnings

Phase 4: Monitoring & Maintenance (Ongoing)

Goal: Maintain performance over time

• Set up bundle size monitoring
• Add performance budgets
• Regular Lighthouse audits
• Memory leak testing

✅ PERFORMANCE BEST PRACTICES (What You're Doing Well)

Asset Loading

• [Specific good practices found]

Bundle Management

• [Specific good practices found]

React Patterns

• [Specific good practices found]

CSS Performance

• [Specific good practices found]

🛠️ PERFORMANCE TOOLING RECOMMENDATIONS

Development Tools

# Add to package.json
"scripts": {
  "analyze": "webpack-bundle-analyzer build/stats.json",
  "performance": "lighthouse https://example.com",
  "size-limit": "size-limit"
}

Performance Budgets

// .size-limit.json
[
  {
    "path": "build/index.js",
    "limit": "100 KB"
  },
  {
    "path": "build/style-index.css",
    "limit": "50 KB"
  }
]

Monitoring

• Bundle size tracking in CI
• Lighthouse CI for Core Web Vitals
• Performance regression testing
• Memory profiling in tests

🔄 CONTINUOUS PERFORMANCE OPTIMIZATION

Pre-Commit Checklist

• Run npm run build successfully
• Check bundle sizes didn't increase unexpectedly
• Test editor performance with 10+ blocks
• Test frontend performance
• No console errors or warnings
• Memory profiler shows no leaks

Monthly Review

• Run full performance audit
• Review bundle sizes
• Update performance baselines
• Identify new optimization opportunities

Quarterly Goals

• Reduce bundle size by X%
• Improve Core Web Vitals scores
• Optimize slowest blocks
• Implement new performance patterns

📚 PERFORMANCE RESOURCES

WordPress Performance

• WordPress Performance Best Practices
• Block Editor Performance
• Core Web Vitals for WordPress

React Performance

• React Performance Optimization
• useMemo and useCallback patterns
• React DevTools Profiler guide

Web Performance

• web.dev Core Web Vitals
• Lighthouse Performance Scoring
• Bundle size optimization techniques

End of Performance Audit

## Execution Strategy

### 1. **Initial Analysis (15 minutes)**
- Build the plugin and analyze output
- Review webpack configuration
- Check bundle sizes
- Identify largest files

### 2. **Bundle Analysis (30 minutes)**
- Analyze each block bundle
- Check for duplicate dependencies
- Identify optimization opportunities
- Test tree shaking effectiveness

### 3. **Asset Loading Review (20 minutes)**
- Review asset loading strategy
- Check conditional loading
- Identify unnecessary global assets
- Test asset dependencies

### 4. **Frontend Performance (30 minutes)**
- Review all frontend JavaScript
- Check for memory leaks
- Analyze event listener patterns
- Test runtime performance

### 5. **Editor Performance (30 minutes)**
- Review React components
- Check for unnecessary re-renders
- Identify missing memoization
- Test with multiple blocks

### 6. **CSS Performance (20 minutes)**
- Analyze CSS specificity
- Check for duplicate rules
- Review selector patterns
- Identify optimization opportunities

### 7. **Database & PHP (20 minutes)**
- Review database queries
- Check caching implementation
- Analyze PHP performance
- Identify bottlenecks

### 8. **Core Web Vitals (30 minutes)**
- Run Lighthouse audit
- Test on slow connection
- Measure impact on LCP, FID, CLS
- Identify render-blocking resources

### 9. **Generate Report (45 minutes)**
- Compile all findings
- Prioritize by impact and effort
- Write detailed fixes with code examples
- Create optimization roadmap

## Analysis Commands Reference

```bash
# Bundle size analysis
npm run build
ls -lh build/ | grep -E "\.js$|\.css$"
du -h build/ | sort -rh | head -20

# Gzipped sizes
find build/ -name "*.js" -exec sh -c 'echo "{}: $(gzip -c {} | wc -c) bytes"' \;

# Dependency analysis
npm list --depth=0
grep -r "import.*from" src/ | grep -oP "from ['\"].*?['\"]" | sort | uniq -c | sort -rn

# Frontend JavaScript
find src/ -name "view.js" -o -name "frontend.js"
grep -r "addEventListener\|querySelector" src/*/view.js

# React performance
grep -r "useEffect\|useMemo\|useCallback" src/blocks/*/edit.js

# CSS analysis
grep -r "!important" src/ --include="*.scss"
cat build/style-index.css | wc -l

# Database queries
grep -r "wpdb\|get_option\|get_transient" includes/ --include="*.php"

# Memory leaks
grep -A 10 "addEventListener" src/ | grep -v "removeEventListener"
grep -A 10 "setInterval\|setTimeout" src/ | grep -v "clear"

Performance Targets

Bundle Sizes

• Individual Block JS: < 10KB gzipped ✅
• Individual Block CSS: < 5KB gzipped ✅
• Total Plugin Assets: < 100KB gzipped ✅
• Shared Dependencies: < 20KB gzipped ✅

Core Web Vitals

• LCP: < 2.5s (Impact < 0.5s) ✅
• FID/INP: < 100ms (Impact < 50ms) ✅
• CLS: < 0.1 (Impact < 0.05) ✅
• TBT: < 300ms ✅

Runtime Performance

• Block Insertion: < 200ms ✅
• Attribute Update: < 50ms ✅
• Frontend Interaction: < 100ms ✅
• Memory Growth: < 10MB/hour ✅

Success Criteria

A successful performance audit should:

• ✅ Identify ALL critical performance bottlenecks
• ✅ Provide measurable before/after metrics
• ✅ Give specific, actionable fixes with code examples
• ✅ Estimate performance gains for each optimization
• ✅ Prioritize by impact vs. effort
• ✅ Include time estimates for implementation
• ✅ Provide performance testing methodology
• ✅ Create clear optimization roadmap
• ✅ Set up monitoring for future performance

Important Notes

• Be Data-Driven: Every issue must have measurable impact
• Prioritize Impact: Focus on optimizations with biggest user benefit
• Consider Trade-offs: Sometimes functionality > performance
• Think Mobile: Test on slow devices and networks
• Monitor Trends: Performance should improve over time, not degrade
• Automate Testing: Set up performance budgets and CI checks

DELIVER VALUE: The audit should make the plugin measurably faster with clear steps to achieve it.