🤖 RepoChat: AI-Powered GitHub Repository Analysis

Project Overview

RepoChat is an intelligent AI assistant that enables deep, contextual conversations about GitHub repositories by maintaining a sophisticated context management system.

Context Maintenance Strategy

🧠 Intelligent Context Windowing

Our unique approach to maintaining conversation context involves:

1. Chunked Repository Parsing

   • Break repository into semantic chunks
   • Create weighted importance mapping
   • Prioritize critical code files and structures

2. Dynamic Context Management

   • Sliding window of conversation history
   • Intelligently prune less relevant context
   • Maintain core repository understanding

3. Multi-Level Context Tracking

   • Repository-level context
   • File-level context
   • Code block-level relevance

Context Preservation Techniques

• Embedding-Based Relevance

  • Use vector embeddings to measure context similarity
  • Dynamically adjust context window

• Metadata Tagging

  • Tag code segments with:
    • Language type
    • Functionality
    • Complexity
    • Potential impact

Key Features

• 🔍 Deep GitHub repository analysis
• 💬 Interactive AI conversation
• 🔒 Secure user authentication
• 📊 Conversation history tracking

Context Maintenance Workflow

Repository Input
  → Content Preprocessing
    → Semantic Chunking
      → Embedding Generation
        → Dynamic Context Window
          → AI Interaction

Contributions and feedback are welcome! 🚀