🚀 EPIC: Performance & Optimization

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🎯 Epic Overview

Implement performance optimizations, caching systems, and establish benchmarking infrastructure for PyM Core.

📋 Epic Goals

• Implement parameter caching system in GenericElement
• Add lazy loading for container extensions
• Create comprehensive benchmark suite
• Optimize memory usage in repository operations
• Implement performance monitoring and profiling

🔗 Related Issues

Will include specific performance improvement tasks and benchmarking implementation.

📊 Performance Targets

• 50% reduction in parameter access time through caching
• Memory usage optimization for large element repositories
• Baseline performance metrics established

✅ Definition of Done

• Caching system implemented and tested
• Benchmark suite integrated into CI pipeline
• Performance improvements measurable and documented
• Memory usage optimized and monitored

📈 Impact

Enables PyM Core to handle larger projects with better responsiveness.