Plan for Handling Large Repository Performance and Validation

[coder-ralph]

To be implemented

Key Optimizations Planned:

1. GitHub API Limits Validation

• Add validation for 100,000 entries and 7MB size limits
• Show warning dialog before processing large repositories
• Provide detailed statistics about repository size

2. Performance Improvements

• Memoization: Enhance useMemo usage for expensive operations
• CSS Containment: Add contain: "layout style paint" to isolate rendering
• Depth Limiting: Limit tree depth to 20 levels for very large repos
• Description Caching: Cache file/directory descriptions to avoid recomputation
• Early Returns: Add early returns in filtering and structure building

3. Memory Optimization

• Sorted Processing: Process files in sorted order for better cache locality
• Single Pass Sorting: Optimize sorting algorithm
• Cache Size Limiting: Limit description cache to 1000 entries

4. User Experience

• Warning System: Show warnings for medium (10k+) and large (50k+) repositories
• Progress Feedback: Provide clear validation dialog with repository statistics
• Performance Thresholds: Handle differently depending on repository size

5. Additional Features

• Validation Dialog: Interactive dialog showing repo size and warnings
• Repository Statistics: Display entry count and estimated size
• Continue Option: Allow users to proceed with large repositories after warning

🎨 UI Design

Validation Dialog

Medium & Large Repository Processed

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Implementation Notes:

• Update imports to include additional types (RepoValidationResult, PERFORMANCE_THRESHOLDS)
• Enhance error messages for API limit violations
• Improve memory management to handle large repositories more gracefully
• Add CSS containment and depth limiting to improve rendering performance

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[coder-ralph]

Done. All planned optimizations implemented. ✅