markitect-main/NEXT.md

MarkiTect Development Roadmap - Post Gap Analysis

Critical Discovery: The project has a solid library foundation but NO CLI interface despite comprehensive manpage documentation.

🚨 URGENT: CLI Implementation Priority

Gap Analysis Summary

• ✅ Strong Foundation: Core library with database, AST caching, front matter parsing (32/32 tests passing)
• ❌ Critical Gap: Zero CLI implementation despite detailed manpage (markitect.1) documenting full interface
• ❌ Missing USP Delivery: Cannot demonstrate core value propositions without user-facing interface

Strategic Pivot Required

Previous focus: Continue with Issues #2-4 (database expansion) New priority: Implement CLI interface to deliver documented vision

🎯 Immediate Action Plan: CLI Foundation

Session Startup Actions (THIS SESSION)

PRIORITY 1: Fix TDD Environment

1. Set up .env.tddai configuration file or environment variables
2. Resolve gitea_url cannot be empty error preventing workspace creation
3. Validate make tdd-status works properly

PRIORITY 2: Start CLI Implementation

1. Run make tdd-start NUM=5 to begin CLI Entry Point issue
2. Follow TDD8 workflow for comprehensive CLI implementation
3. Focus on delivering user-facing interface for existing library capabilities

Phase 1: Core CLI Infrastructure (Current Session Target)

Issue #5: CLI Entry Point and Basic Commands

• Objective: Create functional CLI matching documented interface
• Scope: Entry point, basic commands (ingest, status, list)
• Framework: Click or Typer for argument parsing
• Integration: Wire existing library components to CLI commands
• Validation: Ensure commands work with current database/caching system

Implementation Strategy:

1. Add CLI framework dependency (Click/Typer) to pyproject.toml
2. Create markitect/cli.py main interface module
3. Add console_scripts entry point to pyproject.toml
4. Implement core commands using existing library functions
5. Add comprehensive CLI tests following TDD workflow

Phase 2: Cache Management Interface

Issue #6: Cache Management CLI Commands

• Add cache-info, cache-invalidate, cache-clean commands
• Expose AST cache system through user interface
• Provide cache performance monitoring and maintenance tools

Phase 3: Query and Analysis Interface

Issue #7: Database Query CLI + Issue #8: AST Query CLI

• Implement SQL query interface for metadata operations
• Add AST introspection and JSONPath querying
• Deliver core USP: "Relational Document Metadata" + "Zero-Parsing Content Access"

Priority 1: CLI Framework Integration

• Dependency Management: Add Click/Typer to pyproject.toml dependencies
• Entry Point Configuration: Setup console_scripts in pyproject.toml
• Module Architecture: Design CLI module structure for extensibility
• Command Organization: Group commands by functionality (document, cache, query, ast)

Priority 2: Library-CLI Bridge

• Interface Design: Create clean abstractions between library and CLI
• Error Handling: Implement user-friendly error messages and exit codes
• Configuration: Support global options (--verbose, --config, --database)
• Output Formatting: Implement multiple output formats (table, json, yaml)

Priority 3: Performance Validation

• Benchmark Integration: Expose performance testing through CLI
• Cache Monitoring: Real-time cache effectiveness reporting
• Progress Tracking: User feedback for long-running operations

🏗️ Complete Issue Roadmap

🚨 Critical Path (Deliver Core USPs)

1. Issue #5: CLI Entry Point and Basic Commands (NEXT SESSION)
2. Issue #6: Cache Management CLI Commands
3. Issue #7: Database Query CLI Interface
4. Issue #8: AST Query and Analysis CLI
5. Issue #9: Performance Validation CLI

🎯 Medium Priority (Advanced Features)

6. Issue #10: Batch Processing and Recursive Operations
7. Issue #11: JSON Schema Validation System
8. Issue #12: Configuration and Environment Management

🔮 Future Enhancement (Integration Layer)

9. Issue #13: GraphQL API Interface
10. Issue #14: Plugin Architecture and Extensions

📋 Infrastructure Readiness

✅ Validated & Ready

• TDD workflow completely operational (32/32 tests passing)
• Database foundation with full front matter support (database.py)
• AST parsing and caching system (parser.py, ast_cache.py)
• Document management with performance tracking (document_manager.py)
• Error handling and edge case management proven

🚀 Available Tooling

• make tdd-start NUM=X - proven workspace creation for Issue #5
• make tdd-add-test - effective test generation guidance
• make test-coverage NUM=X - accurate coverage analysis
• make tdd-finish - seamless test integration

🎖️ Success Criteria for Next Session

Primary Goal: Implement Issue #5 - CLI Entry Point and Basic Commands

• Create functional markitect CLI command with entry point
• Implement core commands: ingest, status, list
• Integrate with existing library components (database, document_manager)
• Achieve comprehensive test coverage following TDD workflow
• Validate CLI works with current caching and database systems

Success Indicators:

• User can run markitect ingest file.md and see file processed
• markitect list shows ingested files from database
• markitect status file.md displays processing information
• All CLI commands have proper error handling and help text
• Tests validate CLI integration with library components

Philosophy: Transform library capabilities into user-accessible tools. The gap analysis revealed we have all the components - now make them usable.

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🔄 Updated Wrap-Up Routine

End-of-Session Checklist:

1. Gap Analysis: Validate implementation matches documented vision
2. Issue Creation: Document needed functionality as trackable issues
3. Priority Assessment: Align roadmap with core USP delivery
4. Documentation Updates: ProjectDiary.md, ProjectStatusDigest.md, Next.md
5. Commit Strategy: Preserve analysis and updated roadmap

Session Success Indicators:

• All tests passing (green state)
• Clear next steps documented with implementation detail
• Progress toward documented vision measurably advanced
• Critical gaps identified and prioritized

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📋 Pending Gitea Issues (Manual Creation Required)

🎯 Session Metrics Tracking System

• Title: "Implement session metrics tracking and documentation system"
• Type: Enhancement | Documentation | Workflow
• Priority: Medium
• Description: Implement automatic tracking of tasks generated/completed, development metrics, and session productivity for ProjectDiary integration
• Action: Create in Gitea manually - issue content prepared above

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Last Updated: 2025-09-24 (Gap Analysis Complete) Critical Discovery: CLI interface completely missing despite comprehensive documentation Next Session Priority: Issue #5 - CLI Entry Point Implementation Strategic Shift: From library expansion to user interface delivery