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DocGenius

DocGenius

Mohit Mishra

|
1 install
| (0) | Free
Intelligent automatic documentation generation for multiple programming languages using AI and AST analysis
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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DocGenius - VSCode Extension

Intelligent automatic documentation generation for multiple programming languages using AI and AST analysis.

Features

  • Generate documentation for Python, C/C++, Java, and JavaScript/TypeScript
  • AI-powered comment generation with multiple providers (Groq, OpenAI, Azure OpenAI)
  • NLTK-based local analysis (no API key required)
  • Support for Azure CLI authentication (az login)
  • Diff preview before applying changes
  • Keyboard shortcuts for quick generation
  • Status bar integration showing current AI provider

Supported Languages

  • Python (.py) - PEP 257 docstrings
  • C/C++ (.c, .cpp, .h, .hpp) - Doxygen-style comments
  • Java (.java) - Javadoc-style comments
  • JavaScript/TypeScript (.js, .ts, .jsx, .tsx) - JSDoc-style comments

Installation

  1. Install from VSCode Marketplace
  2. Install the Python CLI tool:
    pip install code-doc-gen
    

Usage

Commands

  • DocGenius: Generate Documentation for Current File - Generate docs for the active file
  • DocGenius: Generate Documentation for Selection - Generate docs for selected functions
  • DocGenius: Generate Documentation for Workspace - Generate docs for entire workspace
  • DocGenius: Configure AI Provider - Set up your AI provider
  • DocGenius: Show Status - Display current configuration

Keyboard Shortcuts

  • Ctrl+Alt+D (Mac: Cmd+Alt+D) - Generate documentation for current file
  • Ctrl+Alt+S (Mac: Cmd+Alt+S) - Generate documentation for selection

Context Menu

Right-click in the editor to access DocGenius commands.

Configuration

AI Providers

NLTK (Default)

  • Local analysis, no API key required
  • Good for basic documentation
  • Works offline

Groq

  • Fast and efficient
  • Requires API key from https://console.groq.com/keys

OpenAI

  • High quality documentation
  • Requires API key from https://platform.openai.com/account/api-keys

Azure OpenAI

  • Enterprise-grade AI
  • Multiple authentication methods:
    • Azure CLI (az login) - Recommended for developers
    • API Key
    • Managed Identity - For production deployments

Settings

  • docgenius.ai.enabled - Enable AI-powered documentation
  • docgenius.ai.provider - AI provider (nltk, groq, openai, azure_openai)
  • docgenius.azure.authMethod - Azure authentication method
  • docgenius.azure.endpoint - Azure OpenAI endpoint
  • docgenius.azure.deploymentName - Azure deployment name
  • docgenius.autoGenerateOnSave - Auto-generate on file save
  • docgenius.showPreviewBeforeApplying - Show diff before applying
  • docgenius.pythonPath - Path to Python interpreter
  • docgenius.clangPath - Path to libclang library
  • docgenius.maxWorkers - Number of worker threads
  • docgenius.enableCache - Enable caching for performance

Azure OpenAI Setup

  1. Open Command Palette (Ctrl+Shift+P)
  2. Run "DocGenius: Configure AI Provider"
  3. Select "Azure OpenAI"
  4. Choose authentication method:
    • Azure CLI: Run az login in terminal first
    • API Key: Enter your endpoint and API key
    • Managed Identity: For Azure-hosted deployments

Examples

Python Documentation

def add(a: int, b: int) -> int:
    return a + b

After running DocGenius:

def add(a: int, b: int) -> int:
    """
    Adds two integers and returns their sum.
    
    Parameters:
        a: The first integer to add.
        b: The second integer to add.
    
    Returns:
        The sum of a and b.
    """
    return a + b

C++ Documentation

int multiply(int x, int y) {
    return x * y;
}

After running DocGenius:

/**
 * \brief Multiplies two integers and returns the product.
 * 
 * \param x The first integer to multiply.
 * \param y The second integer to multiply.
 * \return The product of x and y.
 */
int multiply(int x, int y) {
    return x * y;
}

Requirements

  • VSCode 1.80.0 or higher
  • Python 3.8 or higher
  • code-doc-gen Python package

Known Issues

  • Large files may take longer to process
  • libclang required for optimal C++ parsing

Release Notes

1.2.1

  • Initial release
  • Support for Python, C/C++, Java, JavaScript/TypeScript
  • Multiple AI provider support
  • Azure OpenAI integration with multiple auth methods
  • Diff preview functionality
  • Status bar integration

Contributing

Contributions are welcome! Please visit our GitHub repository.

License

MIT License - see LICENSE

Support

  • Report issues: https://github.com/mohitmishra786/CodeDocGen/issues
  • Documentation: https://github.com/mohitmishra786/CodeDocGen#readme
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