Claude VS Code Extension by ChozhApps

A Visual Studio Code extension that integrates Claude AI directly into your editor. Get AI-powered coding help, explanations, documentation generation, and more — without leaving VS Code.

🚀 Features

🤖 Seamless integration with Claude AI

⌨️ Simple keyboard shortcuts for quick access

🔒 Secure API key storage

🧠 Supports multiple Claude models

💡 Context-aware responses based on your selected code

🛠 Installation

• Download the .vsix file from the Releases page.
• In VS Code, press Ctrl+Shift+P (or Cmd+Shift+P on Mac).
• Type Install from VSIX and select the downloaded file.
• Restart VS Code.

⚙️ Configuration

Before using the extension, you must add your Claude API key:

• Get your API key from the Anthropic Console.
• Open VS Code Settings (Ctrl+, or Cmd+, on Mac).
• Search for Claude.
• Enter your API key in the Claude VS Code: API Key field.

Optional Settings:

claude-vscode.model: Choose which Claude model to use (default: claude-3-opus-20240229)

💡 Usage

• Select text or code in your editor.
• Trigger Claude with any of the following:
  • • Press Ctrl+Shift+C (or Cmd+Shift+C on Mac)
  • • Press Ctrl+Shift+P, type “Ask Claude”, and run the command
  • • Right-click and select Ask Claude from the context menu
• Claude's response will appear in the Claude Output channel.

🧪 Examples

Here are some practical ways to use Claude with your code:

1. 🔍 Code Explanation Select a complex code block and ask Claude to explain it.

2. 🔧 Code Improvement Highlight code you'd like optimized and request suggestions.

3. 📝 Documentation Select a function or class and ask Claude to generate inline documentation.

4. 🐞 Bug Finding Choose a piece of code and ask Claude to identify potential issues.

🦙 Ollama Local Model Support

Using Ollama as a Provider

Ollama lets you run open-source LLMs (like Llama 3, Mistral, etc.) locally on your machine.
No API key is required.

1. Install Ollama

• Download and install Ollama from https://ollama.com/download
• Start Ollama (ollama serve runs automatically on most systems)

2. Pull a Model

Open your terminal and run (example for Llama 3):

ollama pull llama3

3. Configure the Extension

• In VS Code, open Settings (Ctrl+,)
• Set:
  • ai-assistant.provider to "ollama"
  • ai-assistant.model to the model you pulled (e.g., "llama3")
• No API key is needed for Ollama.

Example settings:

{
  "ai-assistant.provider": "ollama",
  "ai-assistant.model": "llama3",
  "ai-assistant.maxTokens": 2000,
  "ai-assistant.temperature": 0.1
}

4. Usage

• Use all extension features as usual.
• The extension will connect to your local Ollama server at http://localhost:11434.

5. Troubleshooting

• Make sure Ollama is running (ollama serve)
• Ensure the model name matches what you pulled
• No API key is required; if prompted, you can skip

Tip: Ollama runs entirely on your machine—no cloud required!

👨‍💻 Development

To build the extension locally:

bash Copy Edit

Clone the repository

git clone https://github.com/AndroidManikandan5689/ai_code_assistance_by_chozhapps.git

Installation Steps

cd ai_code_assistance_by_chozhapps
npm install

Compile the extension

npm run compile

Package it

npm install -g vsce

vsce package

🤝 Contributing

Contributions are welcome! Feel free to fork the project and submit a pull request.

📜 License

This project is licensed under the MIT License.

👨‍💻 Author

Manikandan K (AndroidMani), Founder of ChozhApps 📧 Contact: chozhanaaduapps@gmail.com

💬 Support

If you encounter any issues or have feature requests, open an issue on GitHub.