Release v2.3.0
Major Performance Optimizations
This release includes performance optimizations to the code indexing engine.
Performance Improvements
Python Strategy Optimization
- Reduced from 3 separate AST traversals to 1 single-pass visitor
Java Strategy Optimization
- Merged double tree-sitter traversals into single unified pass
TypeScript Strategy Optimization
- Consolidated double traversals into single optimized pass
System-Level Parallelization
- Implemented ThreadPoolExecutor for concurrent file processing
- Automatic worker count optimization based on CPU cores
- Thread-safe strategy sharing for memory efficiency
Algorithm Optimization
- Replaced O(n²) symbol lookups with O(1) hash table operations
- Eliminated quadratic complexity in call relationship analysis
Bug Fixes
Java Method Call Analysis
- Improved accuracy of method call detection and relationships
- Fixed false positives in method name matching
- Enhanced support for obj.method() call patterns
Cross-Platform Search Support
- Added support for Linux/Unix grep context line formats
- Fixed grep parsing issues on different operating systems
- Improved handling of absolute and relative paths
Search Configuration
- Changed max_line_length default from 200 to None for backward compatibility
- Preserved existing behavior for users who don't set explicit limits
- Added comprehensive parameter validation
Improvements
- Reduced computational complexity in parsing strategies
- Parallel processing for faster indexing of large codebases
- Optimized symbol lookup algorithms
What's Changed
- Single-pass AST/tree-sitter parsing across all optimized strategies
- Parallel file processing with configurable worker pools
- Hash table-based symbol lookup indexes
- Maintained full backward compatibility
Technical Details
- All strategies are thread-safe and support parallel execution
- Strategy instances remain shared and stateless for memory efficiency
- File watcher integration uses optimized rebuilds automatically
- No configuration changes required - improvements are transparent
Deployment
Automatic Benefits:
- Performance improvements work immediately after update
- Existing installations benefit without configuration changes
- File monitoring automatically uses optimized indexing
Recommended:
- Restart MCP server after upgrade
- Optionally run
refresh_index()for immediate optimization
Compatibility
- All existing MCP tool interfaces unchanged
- Existing project configurations work without modification
- No new external dependencies required
- Python 3.10+ requirement maintained
This release transforms code-index-mcp into a high-performance solution suitable for enterprise-scale codebases.