Performance Audit Skill
Degree of freedom: MIXED — what to optimize [HIGH freedom];
measure-first Sentry/vitals and EXPLAIN [LOW freedom — run exactly].
Audit-and-fix exception. Measure, then optimize. JS payload →
audit-bundle-size. Breaking point →test-load. Timeouts/retries →audit-resilience.
How to reason
- Observe — quote LCP/INP/CLS, p95, or
EXPLAIN/ N+1 loop (file:line) - Interpret — is the user waiting on bytes, a query, or main-thread work?
- Classify — vital-miss / N+1 / missing-index / bundle / image / re-render
- Severity — poor LCP/INP or p95 >> target on a live path = Critical
Worked example
Observe: Sentry p95
/users= 2.3s; handlerfindAllthen per-userOrder.findByUserId(app/api/users/route.ts:31). Interpret: N+1; TTFB/LCP suffer on that page. Classify: N+1. Severity: Critical (p95 far over 200ms). Finding:/users| N+1 | eager-load orders | then re-measure
Step 0: Gather Performance Data [LOW freedom — run exactly]
Before optimizing, measure. Collect data from multiple sources.
Production Data (Sentry)
If Sentry performance monitoring is enabled, fetch real production metrics:
sentry:search_events
{
"organizationSlug": "<ORG_SLUG>",
"projectSlug": "<PROJECT_SLUG>",
"regionUrl": "<REGION_URL>",
"query": "slowest transactions by p95 duration in last 7 days",
"limit": 20
}
sentry:search_events
{
"organizationSlug": "<ORG_SLUG>",
"projectSlug": "<PROJECT_SLUG>",
"regionUrl": "<REGION_URL>",
"query": "web vitals LCP INP CLS performance scores in last 7 days",
"limit": 20
}
Check for performance-related issues:
sentry:search_issues
{
"organizationSlug": "<ORG_SLUG>",
"projectSlugOrId": "<PROJECT_SLUG>",
"regionUrl": "<REGION_URL>",
"query": "performance issues slow queries N+1 in last 30 days",
"limit": 20
}
Research Current Benchmarks
Fetch current performance targets:
firecrawl:firecrawl_search
{
"query": "web vitals thresholds good score <current year>",
"limit": 3,
"sources": [{ "type": "web" }]
}
Performance Targets
Core Web Vitals
| Metric | Good | Needs Work | Poor |
|---|---|---|---|
| LCP (Largest Contentful Paint) | <2.5s | 2.5-4s | >4s |
| INP (Interaction to Next Paint) | <200ms | 200-500ms | >500ms |
| CLS (Cumulative Layout Shift) | <0.1 | 0.1-0.25 | >0.25 |
Other Key Metrics
- TTFB (Time to First Byte): <200ms
- FCP (First Contentful Paint): <1.8s
- TTI (Time to Interactive): <3.8s
Frontend Performance Audit [HIGH freedom]
Bundle Size Analysis
npm run build -- --analyze # framework-specific
npx source-map-explorer 'dist/**/*.js'
Checklist:
- Total bundle <200KB gzipped
- No single chunk >100KB gzipped
- Tree shaking working (no unused exports in bundle)
- Heavy libraries lazy-loaded (charts, editors, maps)
- No moment.js (use date-fns or dayjs)
- No lodash full import (use lodash-es or specific imports)
Code Splitting
- Route-based splitting (each page loads its own chunk)
- Component-level splitting for heavy components (
lazy()/dynamic()) - Below-fold content deferred
Image Optimization
- WebP/AVIF format used (not PNG/JPEG for photos)
- Images sized appropriately (not serving 4K to mobile)
-
loading="lazy"on below-fold images - Responsive
srcSetfor different screen sizes - Image CDN used (Cloudinary, imgix, Vercel Image Optimization)
React Performance (if applicable)
- No unnecessary re-renders (React DevTools Profiler)
-
memo()on expensive components that receive stable props -
useMemo()for expensive computations -
useCallback()for callbacks passed to memoized children - Long lists virtualized (react-window, @tanstack/react-virtual)
- No inline object/array creation in JSX props
- Context providers scoped narrowly (not wrapping entire app for local state)
CSS Performance
- No layout thrashing (reads before writes)
- Animations use
transform/opacity(GPU-accelerated) - No
@importchains (bundled instead) - Critical CSS inlined for above-fold content
- Fonts subset and preloaded (
<link rel="preload">)
Backend Performance Audit [HIGH freedom]
Database Queries
N+1 Detection:
// BAD: N+1
const users = await User.findAll();
for (const user of users) {
const orders = await Order.findByUserId(user.id);
}
// GOOD: eager loading
const users = await User.findAll({ include: [Order] });
Checklist:
- N+1 queries eliminated (eager loading, joins, batch loading)
- Indexes on frequently queried columns (WHERE, JOIN, ORDER BY)
- SELECT only needed columns (no
SELECT *) - Pagination on all list endpoints
- Connection pooling configured
- Slow query logging enabled
Index verification: [LOW freedom — run exactly]
EXPLAIN ANALYZE SELECT * FROM orders WHERE user_id = '123';
API Response Optimization
- Response compression enabled (gzip/brotli)
- Appropriate cache headers (
Cache-Control,ETag) - No over-fetching (return only what the client needs)
- Pagination for list endpoints
- Response time <200ms for p95
Caching Strategy
| Layer | Tool | TTL | Use For |
|---|---|---|---|
| Browser | Cache-Control headers | Varies | Static assets, API responses |
| CDN | Vercel/CloudFront/Cloudflare | 1h-1d | Static pages, images |
| API | Redis/Memcached | 5m-1h | Expensive queries, computed data |
| ORM | Query cache | 1m-5m | Repeated identical queries |
Network Optimization
- CDN for static assets
- HTTP/2 or HTTP/3 enabled
- Preconnect to critical origins (
<link rel="preconnect">) - DNS prefetch for third-party domains
- API calls batched where possible (GraphQL, DataLoader)
Research-Driven Optimization [HIGH freedom]
For specific performance bottlenecks, research current solutions:
firecrawl:firecrawl_search
{
"query": "<framework> <specific bottleneck> performance optimization <current year>",
"limit": 5,
"sources": [{ "type": "web" }]
}
Then deep-read the best result:
firecrawl:firecrawl_scrape
{
"url": "<best-result-url>",
"formats": ["markdown"],
"onlyMainContent": true
}
Check official framework docs via Context7:
context7:resolve-library-id
{
"libraryName": "<framework>",
"query": "performance optimization"
}
Quick Wins (Highest Impact, Lowest Effort)
| Issue | Solution | Impact |
|---|---|---|
| Large bundle | Code split routes, lazy load heavy libs | High |
| Slow images | WebP + lazy load + responsive | High |
| No caching | Add Cache-Control headers | High |
| N+1 queries | Eager load / batch | High |
| Missing indexes | Add database indexes | High |
| Unoptimized fonts | Subset + preload + font-display:swap | Medium |
| No compression | Enable gzip/brotli | Medium |
| Expensive re-renders | React.memo + useMemo | Medium |
| Layout shifts | Set explicit width/height on images/embeds | Medium |
Self-critique before applying fixes [LOW freedom — do not skip]
- Evidenced — a measured vital, p95, or
EXPLAIN, not "this looks slow" - Reproducible — same path still exceeds the target table
- Severity justified — Critical = poor vital or live-path p95
- Right owner — JS payload →
audit-bundle-size; breaking point →test-load; timeouts →audit-resilience - No-false-safety — no
memo/useMemowithout a measured re-render; measure again after the fix
Output: Performance Audit Report
## Performance Audit: [Project Name]
### Production Metrics (from Sentry)
- LCP: [value] — [good/needs work/poor]
- INP: [value] — [good/needs work/poor]
- CLS: [value] — [good/needs work/poor]
- Slowest transactions: [list with p95 times]
### Critical Issues (fix immediately)
| # | Area | Issue | Impact | Fix |
|---|------|-------|--------|-----|
| 1 | DB | N+1 on /users endpoint | p95 = 2.3s | Eager load orders relation |
### Optimizations (prioritized)
| # | Area | Issue | Impact | Effort | Fix |
|---|------|-------|--------|--------|-----|
| 1 | FE | Bundle 450KB gzipped | High | Low | Code split routes |
### Already Optimized
- [list of performance areas that are well-implemented]
### Monitoring Recommendations
- [what to add to track performance over time]
### Research Sources
- [URL] — [what optimization pattern it provided]