tegwick
bf84f206fe
Add dedicated issue closing functionality for easier issue management: 📄 New Module: tddai/issue_closer.py • Dedicated IssueCloser class with programmatic API • Command-line interface for manual and batch issue closure • Enhanced functionality beyond existing tddai_cli.py close-issue • Support for standardized completion messages • Batch closure capability for multiple issues 🔧 Makefile Integration: • close-issue-enhanced - Enhanced single issue closure with work completion • close-issues-batch - Batch closure for multiple issues • Proper help documentation and .PHONY declarations ✨ Key Features: • Simple programmatic interface: IssueCloser().close_issue(42, "comment") • CLI with multiple closure modes: comment, work-completed, batch • Integration with existing tddai framework and issue tracking backends • Comprehensive error handling and user feedback • Verbose mode for detailed operation tracking 📋 Usage Examples: • python3 tddai/issue_closer.py 42 -w "All tests passing" • python3 tddai/issue_closer.py 42 43 44 -c "Batch closure" • make close-issue-enhanced NUM=42 WORK="Implementation complete" • make close-issues-batch NUMS="42 43 44" COMMENT="Sprint completion" Provides the missing tddai function to close issues more easily with the selected issue tracking backend. 🤖 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