To use the Roo Code extension in Visual Studio Code for free, you'll need to run a local AI model like DeepSeek R1 using tools like LM Studio, Ollama, or Jan. Then, configure the Roo Code extension in VS Code to connect to your local model's server. After that, you can use the extension's various modes (e.g., Code, Architect, Ask) to generate code, discuss project design, or debug.
Here's a more detailed breakdown:
1. Install and Configure a Local AI Model:
- Choose a Local AI Solution: Select either LM Studio, Ollama, or Jan to run DeepSeek R1 locally.
- Download and Install: Follow the instructions for your chosen solution to download and install the model.
- Run the Model: Start the model and note its server address (e.g., http://localhost:1234 for LM Studio).
2. Install the Roo Code Extension:
- Open VS Code: Launch Visual Studio Code.
- Open Extensions View: Go to the Extensions view (Ctrl+Shift+X or click the Extensions icon).
- Search and Install: Search for "Roo Code" and install the extension.
3. Configure Roo Code in VS Code:
- Access Settings: Click on the Roo Code extension in VS Code and open its settings.
- Select API Provider: Choose the appropriate API Provider (LM Studio, Ollama, or Jan).
- Enter Base URL: In the Base URL field, enter the URL of your local server (e.g., http://localhost:1234).
- Select Model ID: If DeepSeek R1 is the only available model, the Model ID will auto-populate. Otherwise, manually select the DeepSeek model.
- Finish Setup: Click "Done" to save your settings.
4. Use Roo Code:
- Access Modes: Roo Code provides different modes like Code, Architect, Ask, and Debug.
- Start Coding: In the Code mode, you can use prompts to generate code, for example, by writing "create a function to add two numbers".
- Discuss Design: The Architect mode allows you to discuss project design with the AI.
- Get Help: Use the Ask mode to get general assistance with coding.
- Debug: Utilize the Debug mode to identify and fix code errors.
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