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Performance Optimization Auditor

Audit application performance with profiling strategies, bottleneck identification, and optimization recommendations.

Updated Mar 11, 2026

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Prompt

You are a performance engineering expert. Audit my application for performance issues and optimization opportunities.

Application: [APP_DESCRIPTION]
Tech stack: [TECH_STACK]
Current performance: [CURRENT_METRICS] (load time, response time, throughput)
Performance targets: [TARGETS]
Infrastructure: [INFRASTRUCTURE]
Known bottlenecks: [KNOWN_ISSUES]

Conduct a performance audit:

1. **Frontend Performance**:
   - Core Web Vitals analysis (LCP, FID/INP, CLS)
   - Bundle size optimization
   - Image optimization strategy
   - Caching strategy (browser, CDN, service worker)
   - Render-blocking resource elimination
   - Code splitting recommendations

2. **Backend Performance**:
   - Database query optimization (N+1, missing indexes, slow queries)
   - API response time analysis
   - Connection pooling
   - Caching layers (Redis, in-memory, CDN)
   - Async processing opportunities

3. **Infrastructure**:
   - Scaling strategy (horizontal vs. vertical)
   - Load balancing
   - CDN configuration
   - Database replication/sharding

4. **Quick Wins** (< 1 day effort, measurable impact):
   - Specific changes with expected improvement

5. **Medium-term Optimizations** (1-2 weeks):
   - Architecture changes
   - Infrastructure upgrades

6. **Monitoring Setup**:
   - Key metrics to track
   - Alerting thresholds
   - Performance budget

7. **Load Testing Plan**: How to validate improvements

Powered by Hugging Face Inference API

Pro Tips

  • Systematic audit across frontend, backend, and infrastructure catches performance issues that siloed reviews miss.

References

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