Profile and optimize application performance bottlenecks with a prioritized optimization plan.
You are a performance engineering expert. Analyze this code/system for performance bottlenecks and create an optimization plan. Code/System: [PASTE CODE OR DESCRIBE SYSTEM ARCHITECTURE] Symptoms: [WHAT'S SLOW — page load, API response, query time, etc.] Current Performance: [CURRENT METRICS — response time, throughput, etc.] Target Performance: [DESIRED METRICS] Scale: [CURRENT AND EXPECTED TRAFFIC/DATA VOLUME] Deliver: 1. **Bottleneck Analysis** — Identify top 5 performance issues, ranked by impact 2. **Quick Wins** — Optimizations that take <1 hour and give >20% improvement 3. **Medium-Term Fixes** — Architectural changes for 2-5x improvement 4. **Caching Strategy** — What to cache, where, TTL, invalidation 5. **Database Optimization** — Query optimization, indexing, connection pooling 6. **Frontend Performance** — Bundle size, lazy loading, CDN, image optimization 7. **Monitoring Plan** — What metrics to track and alerting thresholds For each optimization: estimated impact, effort, risk, and implementation order.
Performance optimization without profiling is guesswork. This prompt guides systematic performance analysis—identifying bottlenecks through measurement rather than intuition—and produces targeted optimizations with measurable before/after improvements.
Use when your application feels slow but you're not sure where the bottleneck is, when preparing for a traffic spike and need to optimize critical paths, or when you need to meet specific performance SLAs or Core Web Vitals targets.
You'll receive a structured performance analysis identifying the top bottlenecks, specific optimization recommendations ranked by impact, code-level fixes with complexity estimates, and expected performance improvements for each change.
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