💬 Intelligent Chat Interface

Code-y includes an AI-powered chat assistant directly within its documentation interface, providing a conversational way to explore and understand your codebase.

Context-Aware AI Assistant

The chat isn't just a generic AI; it's deeply integrated with the analysis of your specific project:

  • Codebase-Aware Conversations: When you ask questions, the AI has access to the structure, relationships, and even the content (via embeddings) of your code. This allows for highly relevant and accurate answers.
  • Natural Language Queries: Interact with your codebase using plain English. Ask questions like:
    • "How does the `Button` component handle click events?"
    • "What are the main dependencies of the `apiService` module?"
    • "Explain the logic in the `calculateTotalPrice` function."
    • "Where is the `UserContext` defined and used?"
  • Code Explanation: Paste a snippet of code or refer to a specific function/component, and ask the AI to explain it in detail, breaking down complex logic into understandable parts.
  • Refactoring Suggestions: The AI can offer suggestions for improving code quality, such as identifying areas for simplification, better naming conventions, or alternative approaches to solving a problem, all within the context of your existing code.

Advanced Chat Features

The chat interface is designed for effective developer interaction:

  • Session Memory: The chat maintains the context of your current conversation, allowing you to ask follow-up questions and dive deeper into topics without restating previous information.
  • Code References & Links: When the AI discusses specific code entities (files, functions, components), it often provides direct links to view that code within the documentation interface or even open it in your IDE (if configured).
  • Multi-model Support (via Ollama/OpenAI): Depending on your AI backend configuration, you might be able to switch between different AI models (e.g., a general-purpose chat model vs. a code-specific model) to get varied perspectives or capabilities.
  • Export Conversations: Save important chat sessions or insightful explanations for team sharing, personal notes, or future reference.
  • Markdown Support: The chat interface typically supports Markdown formatting in responses, allowing for clear presentation of code snippets, lists, and other structured information.

The intelligent chat turns your documentation from a static resource into a dynamic, interactive partner in understanding your code.