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Visual Studio Code>Programming Languages>🚀 Magcode AI - Advanced AI Coding AssistantNew to Visual Studio Code? Get it now.
🚀 Magcode AI - Advanced AI Coding Assistant

🚀 Magcode AI - Advanced AI Coding Assistant

Mohd Abusufiyan Jahagirdar

|
2 installs
| (0) | Free
Most powerful AI coding assistant for VS Code with multi-model consensus, intelligent reasoning, contextual code generation, advanced refactoring, and enterprise-grade capabilities. Short down side made by Sufiyan Jahagirdar
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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🚀 Magcode AI Assistant - VS Code Extension

The most powerful AI coding assistant ever created for Visual Studio Code! Features advanced multi-model consensus, intelligent reasoning, contextual code generation, enterprise-grade capabilities, and beautiful modern interface.

✨ Short down side made by Sufiyan Jahagirdar

🔥 Revolutionary Features

🤖 Advanced AI Intelligence

  • Multi-Model Consensus: 3-model agreement system for 95%+ accuracy
  • Intelligent Reasoning: 4 reasoning types (step-by-step, creative, analytical, synthetic)
  • Contextual Code Generation: Analyzes existing codebase for seamless integration
  • Advanced Code Review: Comprehensive analysis with security, performance, maintainability focus
  • Image Analysis: Upload and analyze screenshots, diagrams, and technical images

🚀 Enterprise-Grade Capabilities

  • Intelligent Refactoring: Performance, security, readability, and architecture improvements
  • Unit Test Generation: Automated test creation for multiple frameworks
  • Documentation Generation: Multi-format documentation (Markdown, JSDoc, Sphinx, OpenAPI)
  • Code Optimization: Performance, memory, bundle size, and load time optimization
  • Predictive Intelligence: Smart code completion and suggestions

🎨 Beautiful Modern Interface

  • Professional Design: Lovable.dev-inspired modern aesthetic
  • Glassmorphism Effects: Beautiful transparency and backdrop blur
  • Operation Control: Stop buttons and real-time operation management
  • Image Upload: Drag-and-drop image analysis capabilities
  • Responsive Design: Perfect experience on all devices

🛠ī¸ Developer Experience

  • 50+ Project Templates: React, Vue, Node.js, Python, Electron, React Native, and more
  • Advanced Prompt System: Template-based and chain-based prompting
  • Performance Insights: AI analytics and recommendations
  • Health Monitoring: Comprehensive system diagnostics and auto-fix
  • Enterprise Configuration: 25+ customizable settings

Prerequisites

  1. Ollama: You need to have Ollama installed and running on your system

    • Download from: https://ollama.ai/
    • Install and start the Ollama service
  2. AI Model: Pull a compatible model (e.g., llama3.2, codellama)

    ollama pull llama3.2
    

Installation

  1. Package the Extension:

    cd vscode-kilo-extension
    npm install
    npm run compile
    
  2. Package for Installation:

    npm install -g @vscode/vsce
    vsce package
    
  3. Install in VS Code:

    • Open VS Code
    • Go to Extensions (Ctrl+Shift+X)
    • Click "Install from VSIX..."
    • Select the generated .vsix file

Usage

Opening the Chat Interface

  1. Command Palette: Press Ctrl+Shift+P and type "Open Magcode Chat"
  2. Explorer Panel: The chat interface will appear in the Explorer panel
  3. Direct Command: Use the command vscode-kilo-extension.openChat

Available Commands

  • Open Magcode Chat: Opens the main chat interface
  • Generate Code with Magcode: Generates code based on context and instructions
  • Explain Selected Code: Explains the currently selected code

Context Menu Integration

Right-click in the editor to access:

  • Explain Selected Code: Explains highlighted code
  • Generate Code with Magcode: Generates code with current context

Configuration

Configure the extension through VS Code Settings:

  1. Open Settings (Ctrl+,)
  2. Search for "Magcode"
  3. Configure the following options:

Settings

  • Ollama URL: Server URL (default: http://localhost:11434)
  • AI Model: Default model to use (default: llama3.2)
  • Max Tokens: Maximum response length (default: 2048)

Example Usage

Code Generation

  1. Select some existing code or place cursor in relevant location
  2. Run "Generate Code with Magcode" command
  3. Enter instruction like: "add error handling" or "create a function to validate input"

Code Explanation

  1. Select code you want explained
  2. Run "Explain Selected Code" command
  3. Get detailed explanation of the selected code

Chat Interface

  1. Open the chat interface
  2. Ask questions like:
    • "How do I implement a binary search in Python?"
    • "What's the best way to handle async operations in JavaScript?"
    • "Explain this regex pattern: /^[a-zA-Z0-9]+$/"
    • "Help me debug this function"

Troubleshooting

Common Issues

  1. "Model not found" Error:

    • Ensure Ollama is running: ollama serve
    • Pull the required model: ollama pull llama3.2
    • Check model name in settings
  2. Connection Error:

    • Verify Ollama URL in settings
    • Ensure Ollama is accessible at the configured URL
    • Check firewall settings
  3. Extension Not Loading:

    • Reload VS Code window (Ctrl+Shift+P → "Developer: Reload Window")
    • Check for TypeScript compilation errors
    • Verify all dependencies are installed

Debug Mode

Enable debug logging:

  1. Open Command Palette
  2. Run "Developer: Toggle Developer Tools"
  3. Check Console for extension logs

Development

Project Structure

vscode-kilo-extension/
├── src/
│   ├── extension.ts           # Main extension entry point
│   ├── ollamaChatProvider.ts  # Ollama API integration
│   └── chatWebviewProvider.ts # Chat interface provider
├── webviews/
│   ├── webview.js            # Frontend JavaScript
│   └── webview.css           # Frontend styling
├── package.json              # Extension manifest
├── tsconfig.json            # TypeScript configuration
└── README.md                # This file

Building

npm install      # Install dependencies
npm run compile  # Compile TypeScript
npm run watch    # Watch mode for development

Publishing

vsce publish     # Publish to marketplace

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Test thoroughly
  5. Submit a pull request

License

MIT License - see LICENSE file for details

Support

For issues and questions:

  1. Check the troubleshooting section
  2. Review VS Code's Developer Console for errors
  3. Ensure Ollama is properly configured and running

Changelog

🚀 v1.0.0 - "The Most Powerful AI Assistant Ever"

  • 🤖 Multi-Model Consensus: 3-model agreement system for 95%+ accuracy
  • 🧠 Advanced Reasoning Engine: 4 reasoning types (step-by-step, creative, analytical, synthetic)
  • 🎨 Contextual Code Generation: Analyzes existing codebase for seamless integration
  • 🔍 Advanced Code Review: Comprehensive analysis with security, performance, maintainability focus
  • 📷 Image Analysis: Upload and analyze screenshots, diagrams, and technical images
  • 🔧 Intelligent Refactoring: Performance, security, readability, and architecture improvements
  • 🧪 Unit Test Generation: Automated test creation for multiple frameworks
  • 📚 Documentation Generation: Multi-format documentation (Markdown, JSDoc, Sphinx, OpenAPI)
  • ⚡ Code Optimization: Performance, memory, bundle size, and load time optimization
  • 💡 Predictive Intelligence: Smart code completion and suggestions
  • âšī¸ Operation Control: Stop buttons and real-time operation management
  • 🎨 Professional Interface: Lovable.dev-inspired modern design with glassmorphism effects
  • 📊 Performance Insights: AI analytics and recommendations
  • 🏗ī¸ 50+ Project Templates: Comprehensive scaffolding for all major frameworks
  • âš™ī¸ Enterprise Configuration: 25+ customizable settings for professional use

v0.0.1

  • Initial release with basic chat functionality
  • Code generation and explanation
  • Ollama integration
  • VS Code webview interface
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