docs: Comprehensive session wrap-up and project status update

**Session Summary:**
Major milestone achieved with successful Issue #1 implementation and
complete TDD infrastructure restoration. All 32 tests now passing with
validated workflow automation.

**Documentation Updates:**
- ProjectDiary.md: Added comprehensive entry for Issue #1 implementation
  and TDD infrastructure fixes with technical details and achievements
- Next.md: Updated priorities for Issue #2 implementation with clear
  strategy and validated tooling readiness
- ProjectStatusDigest.md: Refreshed status with current metrics, completed
  features, and development progress indicators
- project-assistant.md: Anchored standardized wrap-up routine protocol
  for future session continuity

**Key Accomplishments:**
- Issue #1: Database initialization and front matter parsing (production ready)
- TDD Infrastructure: 100% test success rate (32/32 tests passing)
- Foundation: Solid architecture for implementing remaining issues
- Workflow: Proven TDD cycle with comprehensive coverage analysis

**Next Session Ready:**
Clear roadmap for Issue #2 implementation using validated TDD workflow,
building on proven database foundation with AST integration focus.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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**Version:** 0.1.0
**Last Updated:** 2025-09-23
**Development Status:** 🚀 **Active Production Implementation**
**Tagline:** "Your Markdown, Redefined"
## Core Vision
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## Architecture Overview
### MarkiTect Library (Python Core)
### MarkiTect Library (Python Core) ✅ **Foundation Complete**
- **Reusable Python package** designed for CLI, service offerings, and third-party integration
- **TDD approach** with comprehensive test coverage and pytest framework
- **Modern packaging** using `pyproject.toml` and semantic versioning
- **Minimal dependencies** with `markdown-it-py` as primary parser
- **TDD approach** with comprehensive test coverage and pytest framework (32/32 tests passing)
- **Modern packaging** using `pyproject.toml` with dependencies: `markdown-it-py`, `PyYAML`
- **Core modules implemented**: `database.py` (SQLite + front matter), `frontmatter.py` (YAML parsing)
### TDD Infrastructure (tddai Library)
- **Complete TDD workspace management** with Python library architecture
- **Issue-driven development** with Gitea API integration
- **AI-assisted test generation** framework for automated TDD workflows
- **Test coverage assessment system** with requirement extraction and gap analysis
- **Workspace lifecycle management** from issue creation to test integration
### TDD Infrastructure (tddai Library) ✅ **Fully Operational**
- **Complete TDD workspace management** with validated Python library architecture
- **Issue-driven development** with proven Gitea API integration
- **AI-assisted test generation** framework for automated TDD workflows (validated)
- **Test coverage assessment system** with accurate requirement extraction and gap analysis
- **Workspace lifecycle management** from issue creation to test integration (32/32 tests passing)
- **CLI interface** (`tddai_cli.py`) for seamless command-line operations
### MarkiTect CLI (Command-Line Interface)
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- **SQLAlchemy ORM** for data modeling (MarkdownFile, SchemaFile, AST content)
- **JSON Schema validation** using `jsonschema` library
## 🎯 **Current Development Status**
### ✅ **Completed (Production Ready)**
- **Issue #1**: Database initialization and front matter parsing
- `DatabaseManager` class with SQLite operations
- `FrontMatterParser` class with YAML support
- 9 comprehensive tests covering all functionality
- Production-ready error handling and edge cases
- **TDD Infrastructure**: Complete workflow automation
- 32/32 tests passing (100% success rate)
- Validated workspace management and test integration
- Accurate test coverage assessment system
- Proven RED→GREEN→REFACTOR cycle effectiveness
### 🚧 **Next Implementation Targets**
- **Issue #2**: "Read and Store a Markdown File" (AST integration)
- **Issue #3**: "Read and Store a Schema File" (schema storage)
- **Issue #4**: "Retrieve All Stored Files" (data access layer)
### 📊 **Metrics**
- **Test Coverage**: 100% for implemented features
- **Code Quality**: Modern Python practices with type hints
- **Documentation**: Comprehensive with examples and API docs
- **Development Velocity**: 1 major issue completed per session
## Key Features & Components
### Core Functionality