tegwick
30e164a87b
Implemented comprehensive testing efficiency optimizer to resolve pytest reliability issues and optimize TDD8 workflow performance. ## Core Enhancements ### Testing Efficiency Optimizer Sub-Agent - Complete agent specification in docs/sub_agents/testing_efficiency_optimizer.md - Practical toolkit implementation in tools/testing_efficiency_optimizer.py - Diagnostic capabilities for pytest issues and performance analysis - TDD8 workflow optimization framework ### TDD8-Optimized Test Targets - test-red: Fast execution for TDD red phase (673 tests, optimized failure detection) - test-green: Comprehensive validation for TDD green phase - test-smart: Changed-files-only testing with git integration - test-ultra-fast: Ultra-fast subset execution for rapid feedback - test-perf: Performance monitoring with execution time tracking - test-health: Infrastructure health checks and diagnostics ### Pytest Configuration Enhancements - Added 'arch' marker for architecture tests - Added 'fast' marker for TDD red phase optimization - Enhanced test categorization for smart selection ### Cache Management Improvements - Enhanced cache cleaning with comprehensive __pycache__ removal - Automated cleanup of 298 accumulated cache directories - Performance optimization through intelligent cache management ## Problem Resolution - Fixed "mysterious some problem with pytest" reliability issues - Resolved test discovery and execution pattern problems - Eliminated performance bottlenecks from cache accumulation - Streamlined TDD8 red-green iteration cycles ## Validation - Successfully tested all optimization targets - Validated TDD workflow integration - Confirmed pytest reliability improvements - Performance testing shows significant speed improvements 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
MarkiTect - Advanced Markdown Engine
Your Markdown, Redefined.
MarkiTect transforms markdown from plain text into intelligent, structured data with performance optimization, schema validation, and relational querying capabilities. Stop treating documentation as text files—start managing it as a database.
Key Features:
- Lightning Performance: 60-85% faster document processing through intelligent AST caching
- Schema Validation: Enforce document structure and consistency
- Database Integration: Query markdown content with SQL-like operations
- CLI Tools: Complete command-line interface for automation and workflows
📚 Documentation
Quick Start: Getting Started · Command Reference
Architecture: Caching System · Performance Philosophy
Development: TDD Workflow · Contributing
Project Status: Current Status · Roadmap · Next Actions