🎯 Create Performance-Optimized Wrapper Library with Lazy Loading

[LarsArtmann]

🎯 Performance-Optimized Wrapper Library with Lazy Loading

🎯 Objective

Design and implement a high-performance wrapper system with intelligent lazy loading, caching, and resource optimization to ensure wrapped package experience is faster and more efficient than traditional dotfiles management.

⚡ Performance Architecture

1. Lazy Loading System

Lazy loading only builds wrappers when first used, reducing initial startup time from minutes to seconds.

2. Intelligent Caching System

Cache built wrappers with config hash-based invalidation, eliminating redundant rebuilds.

3. Resource Optimization Framework

Memory-efficient wrappers with configurable profiles (minimal/balanced/performance).

4. Parallel Wrapper Building

Build multiple wrappers simultaneously using all CPU cores.

🚀 Performance Features

• Startup Time Optimization: Sub-second startup for all applications
• Memory Usage Optimization: 30-50% memory reduction vs dotfiles
• Parallel Building: 70% reduction in build time
• Performance Monitoring: Real-time metrics and analytics

🎯 Performance Targets

Tool Type	Current	Target	Improvement
CLI Tools	100-200ms	<20ms	90% faster
GUI Apps	2-5s	<1s	80% faster
Shell Load	500-800ms	<100ms	85% faster

📊 Success Metrics

• Sub-second startup for all applications
• 50% memory reduction vs traditional dotfiles
• Parallel building reduces build time by 70%
• Intelligent caching eliminates redundant operations
• Real-time monitoring of performance metrics

🔧 Implementation Plan

1. Create lazy loading framework (Day 1-2)
2. Implement caching system (Day 3-4)
3. Add resource optimization (Day 5-6)
4. Build performance monitoring (Day 7)
5. Create parallel builder (Day 8-9)
6. Performance testing and optimization (Day 10)

This performance optimization will make wrapped packages significantly faster and more efficient than traditional dotfiles management, providing measurable improvements in developer experience.

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🏷️ Labels: enhancement, performance, area/infrastructure, tech/nix, effort/medium, impact/high, status/planning