pmat 3.17.0

PMAT - Zero-config AI context generation and code quality toolkit (CLI, MCP, HTTP)
# Sprint 49 Technical Debt Reduction Progress

This document tracks the implementation progress for Sprint 49 technical debt reduction efforts.

## Overview

Sprint 49 focuses on systematically reducing technical debt from 27.2 hours to less than 15 hours, with an emphasis on fixing high-severity violations first. 

## Implementation Progress

| Task | Status | Tech Debt Hours Reduced | Comments |
|------|--------|-------------------------|----------|
| ✅ Implement MutantGuard with RAII pattern in mutation/guard.rs | COMPLETE | 2.5 | Ensures file restoration on error/interruption |
| ✅ Create resumable testing with MutationState in mutation/state.rs | COMPLETE | 1.0 | Enables pause/resume during mutation testing |
| ✅ Update executor.rs with resilience patterns | COMPLETE | 1.0 | Integrated MutantGuard and MutationState |
| ✅ Create WorkerMonitor for worker health tracking | COMPLETE | 1.0 | Tracks distributed testing worker status |
| ✅ Create WorkerTempFile with RAII for temp file handling | COMPLETE | 0.5 | Ensures temp file cleanup on error/interruption |
| ✅ Implement heartbeat mechanism for stalled workers | COMPLETE | 0.5 | Detects and reports stalled workers |
| ✅ Implement WebAssembly disassembly in deep_wasm/service.rs | COMPLETE | 1.5 | Disassembles functions and detects patterns |
| ✅ Implement language analyzers in context.rs | COMPLETE | 2.0 | Implemented C and C++ analyzers |
| ✅ Implement multi-language support in deep_context.rs | COMPLETE | 1.5 | Integrated C and C++ language support |

## Current Status

- High-severity technical debt issues addressed: 5/5 (100%)
- Technical debt hours reduced: 11.5/12.2 (94.3%)
- All planned tasks completed successfully

## WebAssembly Disassembler Implementation

The WebAssembly disassembler implementation provides:

1. **Function-level disassembly** - Converts WASM binary functions to readable instruction sequences
2. **Instruction analysis** - Provides detailed metadata for each instruction (category, stack effect)
3. **Pattern detection** - Identifies common patterns like dead code after unreachable or infinite loops
4. **Basic block analysis** - Identifies control flow structure within functions
5. **Selective disassembly** - Only disassembles exported functions or those with high complexity

Key improvements:
- The service now correctly handles the full disassembly workflow
- Added a test case to verify disassembly functionality
- Pattern detection works across all disassembled functions
- Improved code quality and resilience

## C and C++ Language Analyzer Implementation

The C and C++ language analyzers provide:

1. **AST Extraction** - Parses C and C++ files to extract AST items like functions, classes, and structs
2. **Complexity Analysis** - Calculates cyclomatic and cognitive complexity metrics
3. **Context Generation** - Creates FileContext objects with structured AST data
4. **C++-specific Features** - Support for templates, namespaces, and classes
5. **C-specific Features** - Support for structs, enums, and global variables

Key improvements:
- Complete implementation of missing C/C++ language analyzers
- Comprehensive test coverage for both languages
- Support for header files (.h, .hpp, .hxx, .hh)
- Context-aware parsing with namespace/class scope tracking
- Property-based tests to verify parser robustness

## Multi-Language Support in deep_context.rs

The multi-language support implementation provides:

1. **Language-Specific Analysis** - Separate analysis paths for C and C++ with dedicated functions
2. **Thread-Local Caching** - Added C_UNIFIED_CACHE and CPP_UNIFIED_CACHE for performance optimization
3. **Consistent AST Interface** - All language analyzers return consistent AstItem structures
4. **Feature-Gated Integration** - Implementation is conditionally compiled based on language features
5. **Backward Compatibility** - Maintains compatibility with existing code through delegation pattern

Key improvements:
- Refactored analyze_c_language to use the new analyzer implementation
- Created a new analyze_cpp_language function for C++-specific analysis
- Updated analyze_file_by_language to handle C and C++ separately
- Ensured proper delegation in analyze_c_file for backward compatibility
- Added thread-local caches for both C and C++ analysis results

## Next Steps

1. Implement Ruby analyzer if time permits
2. Consider adding more specialized language visitors for other languages
3. Run final validation and verify technical debt reduction