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Roo Code

8,500TypeScriptAI Coding Assistant

Open-source AI coding assistant for VS Code with multi-model support.

TypeScriptVS CodeOpen SourceMulti-Model

Overview

Roo Code is an open-source AI coding assistant extension for VS Code that provides intelligent code completion, chat, and refactoring capabilities. It supports multiple AI models including Claude, GPT, and local models, giving developers flexibility in choosing their preferred AI provider.

Features

  • Open-source and free
  • Multi-model support (Claude, GPT, local)
  • Code completion and chat
  • Context-aware suggestions
  • VS Code extension
  • Self-hosted options

Installation

Install from VS Code marketplace

Pros

  • +Completely free and open-source
  • +Flexible model selection
  • +Self-hosted options for privacy
  • +Active community development
  • +Works with existing VS Code setup

Cons

  • Less polished than commercial alternatives
  • Smaller community
  • Requires manual configuration
  • Fewer integrations

Alternatives

Documentation

Roo Code

Overview

Roo Code is an open-source AI coding assistant extension for VS Code that provides intelligent code completion, chat, and refactoring capabilities. It supports multiple AI models including Claude, GPT, and local models, giving developers flexibility in choosing their preferred AI provider.

Roo Code emphasizes privacy and flexibility, allowing users to use their preferred AI provider or run models locally for complete data privacy.

Features

  • Open-source and free — No cost, fully transparent code
  • Multi-model support — Claude, GPT, Gemini, local models
  • Code completion — Intelligent inline suggestions
  • Chat interface — Context-aware AI chat
  • Context awareness — Project-wide understanding
  • Self-hosted options — Run with local models for privacy

Installation

Install from the VS Code Marketplace:

  1. Open VS Code
  2. Go to Extensions (Ctrl+Shift+X)
  3. Search for "Roo Code"
  4. Click Install

Quick Start

  1. Install the extension
  2. Configure your preferred AI provider in settings
  3. Start coding with AI assistance
  4. Use the chat panel for questions

Configuration

{
  "roo-code.provider": "anthropic",
  "roo-code.apiKey": "your-api-key",
  "roo-code.model": "claude-3-5-sonnet"
}

Core Concepts

Model Flexibility

Roo Code supports multiple AI providers:

  • Anthropic Claude — Best for complex reasoning
  • OpenAI GPT — Wide compatibility
  • Google Gemini — Good value option
  • Local models — Complete privacy with Ollama, LM Studio

Privacy Focus

For sensitive codebases, Roo Code can run entirely locally:

{
  "roo-code.provider": "ollama",
  "roo-code.model": "codellama:7b"
}

Examples

Code Completion

As you type, Roo Code provides intelligent suggestions. Press Tab to accept.

Chat with Context

@workspace How do I add authentication to this Express app?

Pros

  • ✅ Completely free and open-source
  • ✅ Flexible model selection
  • ✅ Self-hosted options for privacy
  • ✅ Active community development
  • ✅ Works with existing VS Code setup
  • ✅ No vendor lock-in

Cons

  • ❌ Less polished than commercial alternatives
  • ❌ Smaller community
  • ❌ Requires manual configuration
  • ❌ Fewer integrations than paid tools

Use Cases

Use CaseWhy Roo Code
Free AI AssistanceZero-cost alternative to commercial tools
Privacy-focused CodingRun locally with no data leaving your machine
Model FlexibilitySwitch between Claude, GPT, Gemini, or local models
VS Code WorkflowSeamless integration with existing VS Code setup
Open-source PreferenceTransparent code, no vendor lock-in

Comparison with Alternatives

FeatureRoo CodeCursorCopilotCodeium
CostFreeFreemiumPaidFreemium
Open Source✅ Yes❌ No❌ No❌ No
Local Models✅ Yes⚠️ Limited❌ No❌ No
Multi-provider✅ Yes✅ Yes❌ OpenAI⚠️ Limited
VS Code Native✅ Yes❌ Fork✅ Yes✅ Yes
Privacy✅ Excellent⚠️ Cloud⚠️ Cloud⚠️ Cloud
Learning CurveLowLowLowLow
Best forPrivacy, free usersDaily codingEnterpriseBudget users

Best Practices

  1. Configure provider first — Set up your preferred AI provider before coding
  2. Use local models for privacy — Run with Ollama for complete data control
  3. Leverage context awareness — Use @workspace for project-wide questions
  4. Accept suggestions carefully — Review all AI-generated code before accepting
  5. Use chat for complex questions — Chat panel provides deeper context
  6. Keep extension updated — Regular updates bring new features and fixes

Troubleshooting

IssueSolution
Completion not workingCheck provider API key and model configuration
Chat not respondingVerify model is available and API is accessible
Slow suggestionsTry smaller local model or reduce context size
Extension conflictsDisable other AI extensions to avoid conflicts
Local model failsEnsure Ollama/LM Studio is running and model downloaded

Resources