🚀 Performance Optimization
- Reduce Time Complexity: Use efficient algorithms (e.g., O(n log n) instead of O(n²))
- Avoid Redundant Computations: Cache results of expensive operations
- Minimize I/O Operations: Batch requests and use asynchronous processing
- Optimize Database Queries: Add indexes and avoid N+1 query problems
📦 Code Structure Optimization
- Modular Design: Break code into reusable components
- Clean Architecture: Separate concerns with layered design patterns
- Avoid Global State: Use dependency injection for better testability
- Follow DRY Principle: Don't repeat yourself across codebase
💾 Resource Management
- Memory Optimization: Use object pooling and avoid memory leaks
- Concurrency Control: Implement proper thread management
- Lazy Loading: Load resources only when needed
- Code Minification: Remove unnecessary characters from code
📚 Further Reading
For advanced optimization strategies, check our Advanced Optimization Strategies guide.