- Move release management to capabilities/release-management/ with complete Makefile
- Create automatic capability discovery system in scripts/capability_discovery.mk
- Add capability-manager subagent for managing modular architecture
- Implement target delegation system enabling capability-name-target patterns
- Create Makefiles for markitect-content, markitect-utils, and issue-facade capabilities
- Remove legacy release management code and documentation from main project
- Update main Makefile to use capability discovery and delegation
- Add comprehensive capability status, help, and management targets
The capability system provides:
- Automatic discovery of capabilities with Makefiles
- Clean target delegation without conflicts
- Modular architecture following established patterns
- Comprehensive help and status reporting
- Zero-conflict capability integration
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove manual version management in favor of git tag-based versioning
- Simplify __version__.py to import from generated _version.py
- Add simplified release_simplified.py script
- Add _version.py to .gitignore (auto-generated)
🚀 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Version 0.6.0 introduces comprehensive improvements:
🚀 Major Features:
- Custom status modal system with theme consistency
- HTML generation dogtag with user attribution
- Enhanced link navigation (new tabs, no edit trigger)
- Comprehensive UI framework documentation
🔧 Architecture:
- Complete document_manager.py cleanup (-2000 lines)
- Clean wrapper pattern maintaining compatibility
- Enhanced database integration and AST processing
🎨 UI/UX:
- Theme-aware modal dialogs
- Standardized CSS naming conventions
- Improved error handling and validation
🧪 Quality:
- Updated test suite for clean implementation
- Fixed JavaScript syntax and CSS escape issues
- Enhanced front matter parsing integration
This release establishes a solid foundation for maintainable,
clean architecture while preserving all existing functionality.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This release represents a major milestone in MarkiTect's evolution, featuring a complete rewrite of the editor system using test-driven development principles and clean object-oriented architecture.
Key highlights:
- Clean TDD-driven editor architecture with Section/SectionManager/DOMRenderer classes
- Multiple concurrent section editing with intelligent section splitting
- Four-layer content management system (original, current, pending, editing)
- Enhanced status dialog with repository info and version tracking
- Comprehensive testing framework with separation of concerns
- Elegant slide-in control panel and intelligent auto-sizing textarea
- Complete legacy editor system replacement
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Key improvements:
- Fixed critical md-render --edit functionality that was broken
- Enhanced version tracking with git commit hash, timestamps, and local changes detection
- Comprehensive regression tests to prevent future breaks
- Repository cleanup completed
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Kaizen-agentic framework integration as capability submodule
- Test reorganization by capability with better modularity
- Comprehensive capability inclusion management system
- Directory reorganization with logical separation
- Todofile system implementation replacing NEXT.md
- Historical file organization for cleaner structure
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Update main package version to 0.2.0
- Update capability versions to 0.2.0
- Prepare for release tagging
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add complete release automation script (release.py) with version management
- Add semantic versioning validation and git integration
- Create automated changelog generation from git commits
- Add comprehensive Makefile targets for release workflow
- Set up package building with source and wheel distributions
- Add git tagging and repository management
- Create extensive release documentation (RELEASE.md)
- Add CHANGELOG.md with standardized format
- Update dependencies in pyproject.toml (add toml package)
Release commands added:
- make release-status - Show current release status
- make release-validate - Validate repository for release
- make release-prepare VERSION=x.y.z - Prepare new release
- make release-build - Build release packages
- make release-publish VERSION=x.y.z - Complete release workflow
- make release-dry-run VERSION=x.y.z - Test release preparation
Features:
- Semantic versioning with pre-release support
- Automated version updates across files
- Git status validation and branch checking
- Test execution validation
- Package building with build tool integration
- Git tagging with proper annotations
- Comprehensive error handling and validation
Resolves#81🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement comprehensive type annotations and mypy configuration as part
of code quality initiative. Achieve 100% type annotation coverage for
main CLI entry points and resolve Optional type inconsistencies.
## Key Improvements
### CLI Layer (100% Type Coverage)
- tddai_cli.py: Complete type annotations for all 21 functions
- cli/core.py: Full type coverage for CLI framework (20 functions)
- cli/commands/issues.py: Fixed Optional[List[str]] parameter types
- cli/commands/workspace.py: Improved type checker logic for Optional handling
### Service Layer Type Safety
- services/issue_service.py: Fixed Optional parameter type signatures
- services/project_service.py: Updated Optional type annotations
- tddai/issue_creator.py: Proper Optional[List[str]] usage
- tddai/project_manager.py: Fixed Optional parameter handling
### Mypy Configuration
- pyproject.toml: Added comprehensive mypy configuration
- Gradual adoption strategy with module-specific strictness
- Python 3.12 compatibility for proper type checking
- Incremental typing approach for legacy modules
## Technical Details
- Proper Optional vs Union type usage throughout
- Generic type annotations for collections
- Return type annotations for all public functions
- Fixed implicit Optional violations (PEP 484)
- Type checker logic improvements for better safety
## Benefits
- Improved IDE autocomplete and error detection
- Compile-time type checking for CLI commands
- Better maintainability and debugging capabilities
- Foundation for expanding type safety to remaining modules
Resolves#27 - Type safety improvements
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Added two new Claude Code subagents following proper specification format:
**Kaizen Optimizer Agent:**
- Meta-agent for analyzing and optimizing other subagents
- Performance analysis and specification improvement recommendations
- Agent ecosystem health assessment and continuous improvement
- Proper YAML frontmatter with proactive usage guidelines
**Refactoring Assistant Agent (Optimized):**
- Streamlined from 19-section complex specification to focused Claude Code format
- Code quality assessment and refactoring guidance within Claude Code environment
- Security analysis and performance optimization recommendations
- Integration with existing agent ecosystem (tddai-assistant, general-purpose, project-assistant)
**Also includes Issue #15 AST Query CLI implementation:**
- AST Service with display, query, and statistics capabilities
- JSONPath integration for flexible AST navigation
- CLI commands: ast-show, ast-query, ast-stats (22/22 tests passing)
- Leverages existing cache system for optimal performance
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement comprehensive database query interface with multiple output formats:
• Add query command for executing read-only SQL queries with security constraints
• Add schema command for database structure inspection
• Add metadata command for file information display
• Support table, JSON, and YAML output formats across all commands
• Implement SQL injection prevention and safety checks
• Add tabulate dependency for enhanced table formatting
• Create 35 comprehensive tests covering all functionality
This delivers the core USP "Relational Document Metadata" by making the
database fully queryable through CLI commands with multiple output formats.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Complete CLI implementation using Click framework with core commands:
- ingest: Process and store markdown files with progress feedback
- status: Display file processing status and metadata
- list: Show all stored files with optional verbose details
Features:
- Global options (--verbose, --config, --database)
- Comprehensive error handling and user-friendly output
- Integration with existing DatabaseManager and DocumentManager
- Proper console script configuration in pyproject.toml
- Extensive inline documentation and help text
- Robust front matter parsing with error handling
Technical Implementation:
- Added Click dependency (>=8.0.0) to pyproject.toml
- Console script entry point: markitect.cli:main
- Full integration with database and caching systems
- Performance-aware implementation maintaining existing architecture
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Complete TDD implementation of core MarkiTect functionality:
**Database Module (markitect/database.py):**
- DatabaseManager class with SQLite database initialization
- markdown_files table with proper schema (id, filename, front_matter, content, created_at)
- Front matter storage as JSON with content separation
- File storage, retrieval, and listing methods
- Comprehensive error handling
**Front Matter Module (markitect/frontmatter.py):**
- FrontMatterParser class with YAML front matter parsing
- Clean separation of metadata from markdown content
- Graceful handling of invalid YAML and missing front matter
- Regex-based parsing with proper delimiter handling
**Dependencies:**
- Added PyYAML for front matter parsing
- Updated pyproject.toml with new dependency
**Test Coverage:**
- 9 comprehensive tests covering all functionality
- Database initialization and schema validation
- Front matter parsing with Issue #1 example content
- Integrated workflow testing (storage/retrieval)
- Error handling for edge cases
**TDD Process:**
- RED phase: 8 failing tests defining requirements
- GREEN phase: Minimal implementation making all tests pass
- Validation: Complete workflow verified with example content
This implementation provides the foundation for all subsequent MarkiTect
features, handling the exact example from Issue #1 specification.
Issue #1: Initialize Database and Store Example Markdown File
coulomb/markitect_project#1🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add install-pip.sh script for automated Python package installation
- Add pyproject.toml with proper package configuration and setuptools discovery
- Fix virtual environment setup to enable all tests to run successfully
- Tests now pass: 20/20 ✅🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
