Week #3 (Jun 19 - Jun 25) #

Implemented MVP features #

Code Analysis & Parsing #

1. Refactored Python Parser ( #62)
   Improved AST-based parser with enhanced code structure extraction
2. High-Level Method Detection ( #53)
   Identifies and extracts key methods with their signatures and relationships
3. AT Generator ( #11)
   Automated test generation framework from code structure
4. Python Project Parser ( #9)
   Core parsing capability for Python codebases

Knowledge Graph Infrastructure #

5. Graph Entity Definition ( #10)
   Schema for nodes, relationships, tags and metadata
6. Database Configuration ( #6)
   Neo4j graph database setup with vector storage
7. Classic Vector RAG Approach ( #55)
   Retrieval-Augmented Generation implementation

User Interface #

8. Simple MCP Interface ( #18)
   Minimum Complete Product API for system interactions

Testing & Validation #

9. Testgroup Projects ( #33, #65)
   Validation environment with sample Python codebases
10. Essential Integration Tests ( #32)
    Core functionality validation framework
11. CodeQL Scanning ( #43)
    Security and quality analysis integration

Development Infrastructure #

12. Pre-commit Formatters ( #46)
    Automated code standardization
13. Conventional PR Checker ( #38)
    Commit message and workflow enforcement
14. Dependabot Setup ( #42)
    Dependency update management
15. Poetry Dependency Management ( #7)
    Python package and environment control

Project Management #

16. Planning Board Setup ( #27)
    Task tracking and workflow management
17. Project Structure Definition ( #23)
    Organized repository architecture
18. Role Definitions ( #31)
    Contribution tracking framework
19. Development Rules ( #24)
    Team workflow standards

Documentation & Research #

20. Project Documentation ( #3, #22, #30)
    README, architecture specs, and internal docs
21. QA Pipeline Research ( #12)
    Quality assurance strategy foundation
22. Codebase Search Research ( #13)
    Efficiency optimization for large repositories
23. Weekly Reports ( #21, #25, #67)

Demonstration of the working MVP #

• Google doc with Screenshots

Usefull Links #

• Course Repository

• Main Repository

• Excalidraw Board

• Google Document

• Weekly Report

• Weekly Role Distibution Table

• Scaffold Planning Board

Individual contribution of each participant #

Software Development #

• Classic Vector RAG Approach - In Progress (peplxx)
• Simple MCP interface - Done (mashfeii)
• Refactor Python Parser - Done (Trunn5)
• Pre-commit code formatters - Done (Trunn5)
• High-level individual methods detection - Done (Trunn5)

Research #

• Research: Efficiency information search in codebases - In Progress (4hellboy4)

Testing & Infrastructure #

• Essential Integration Tests - In Progress (onemoreslacker)
• Add projects to testgroup - Done (onemoreslacker)
• CodeQL code scanning - Done (peplxx)

Management & Reporting #

• Week 3 Report - Done (peplxx)

Plan for Next Week #

1. Implement full MCP server with needed LLM integration
2. Integrate MCP server with Python parser and Neo4j database
3. Research signal interface for Database refreshing mechanism
4. Develop autotesting setup for parser and AT generator components
5. Implement testing pipeline for context fetching evaluation metrics
6. Establish QA framework for graph accuracy validation

Confirmation of the code’s operability #

We confirm that the code in the main branch:

• In working condition.
• Run via docker-compose (or another alternative described in the README.md).