Performance Optimization

AvanzadadevelopmentContexto mínimo: 64K

Identifies and resolves performance bottlenecks in code and systems. Covers algorithmic complexity analysis, memory optimization, caching strategies, database query tuning, and frontend performance (Core Web Vitals). Follows a measure-first approach.

Casos de uso

  • Analyzing algorithmic complexity and suggesting improvements
  • Optimizing database queries and indexing
  • Reducing frontend bundle size and load times
  • Implementing caching strategies (Redis, CDN, memoization)
  • Identifying memory leaks and excessive allocations

Prompt de ejemplo

Analyze this code for performance issues and suggest optimizations.

Context:
- Current performance: [describe metrics, e.g., "API responds in 2s, target is 200ms"]
- Scale: [e.g., "10k requests/min", "1M rows in table"]
- Constraints: [e.g., "cannot change the database schema", "must support IE11"]

Code:
```
[paste code here]
```

Please provide:
1. Identified bottlenecks with complexity analysis
2. Prioritized optimization suggestions (highest impact first)
3. Optimized code with before/after comparison
4. Measurement approach to verify improvements
5. Trade-offs of each optimization (memory vs speed, complexity vs performance)

Modelos recomendados

Herramientas compatibles

claude-codecursorgithub-copilotkiroany

Modalidades

Entrada: code, text
Salida: code, text

Skills relacionadas

Autor

OpenModels Community

@openmodelsrun