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Description
Overview
Build a performance analyzer to identify bottlenecks and suggest optimizations.
Features to Implement
- Runtime Analysis: Identify slow functions and operations
- Memory Usage: Track memory leaks and excessive allocations
- Algorithm Complexity: Analyze time and space complexity
- Database Queries: Identify N+1 queries and slow operations
- Network Calls: Find inefficient API usage patterns
Technical Requirements
- Static analysis for complexity detection
- Integration with profiling tools
- Performance metrics visualization
- Benchmarking capabilities
- Historical performance tracking
Analysis Categories
- Big O complexity analysis
- Memory usage patterns
- I/O operations optimization
- Caching opportunities
- Concurrency issues
User Experience
- Visual performance reports
- Before/after optimization comparisons
- Actionable optimization suggestions
- Integration with existing dev tools
Acceptance Criteria
- Identifies performance bottlenecks accurately
- Provides specific optimization recommendations
- Shows performance impact estimates
- Integrates with popular profiling tools
- Supports major programming languages
Priority
π‘ Medium - Improves code performance
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