# Active Context

## Current Status
- Screen capture module successfully implemented
- Window detection and capture working correctly
- SwiftUI interface with capture controls functioning
- Error handling system properly managing states
- Resource cleanup implemented
- Metal resource management optimized

## Recent Changes
1. Resource Management Optimization:
   - Implemented shared CIContext pattern:
     * Prevents command queue exhaustion
     * Reduces Metal resource usage
     * Enables long-running captures
   - Proper cleanup on task completion
   - Efficient resource utilization

2. Improved Window Detection:
   - Using SCShareableContent for window access
   - Precise window identification:
     * Exact bundle ID matching (com.chess.iphone)
     * Window visibility verification (isOnScreen)
     * Size validation (width > 100 && height > 100)

3. Enhanced Capture System:
   - Continuous capture implementation:
     * Single persistent capture stream
     * Smooth frame processing (no flickering)
     * Efficient resource usage
   - Proper frame dimensions from window
   - Clean task cancellation handling
   - Main thread safety for UI updates

4. UI Simplification:
   - Removed debug overlay functionality
   - Cleaner, focused interface
   - Essential controls only:
     * Start/Stop capture
     * Full capture view
     * Board preview

5. Error Handling:
   - Improved error resilience:
     * Continues capturing even if board detection fails
     * Only stops on critical errors (e.g., window not found)
     * Shows error state without interrupting capture
   - Clear error states
   - Proper async/await usage
   - Task cancellation management
   - Thread-safe state updates

## Current Focus
1. Board Detection:
   - Implement chess board recognition
   - Handle different board themes
   - Process captured frames efficiently

## Next Steps
1. Implement board detection:
   - Pattern recognition for chess pieces
   - Board coordinate mapping
   - Position validation
2. Add position analysis
3. Create move detection system
4. Implement visual overlay
5. Integrate Stockfish engine

## Known Issues
- Board detection not yet implemented
- Need to handle different chess.com themes
- Need to implement piece recognition
- Position analysis pending implementation