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πŸ“Š Performance Analyzer - Identify BottlenecksΒ #6

@favmaclegend-ops

Description

@favmaclegend-ops

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

🟑 Medium - Improves code performance

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