Continue.dev — Open Source AI Coding Assistant

Introduction

Continue.dev is an open-source IDE extension that brings AI coding assistance with full privacy control. Built for developers who want transparency and self-hosting capability, Continue allows running local or cloud models while keeping code private. This guide covers setup and advanced usage.

• What is Continue?
• Installation
• Configuration
• Local Model Support
• Cloud Model Integration
• Chat Interface
• Core Features
• Self-Hosting
• Advanced Configuration
• Best Practices
• Limitations
• When Continue Excels
• Conclusion
• FAQ

What is Continue?

Open-source AI coding assistant featuring:

• Privacy-first: Local-first architecture
• Model-agnostic: Use any LLM (local, cloud, proprietary)
• Fully customizable: Modify behavior via config
• Self-hosting: Run on your infrastructure
• Open-source: MIT licensed

Installation

VS Code:

1. Extensions marketplace: Search "Continue"
2. Install official extension
3. Configure model in settings
4. Start using

Configuration

Continue config file (~/.continue/config.json):

{
  "models": [
    {
      "title": "Ollama Local",
      "provider": "ollama",
      "model": "llama2"
    },
    {
      "title": "Claude",
      "provider": "anthropic",
      "model": "claude-3-5-sonnet"
    }
  ],
  "defaultModel": "Claude"
}

Local Model Support

Run completely offline with:

• Ollama: Download models locally (Llama, Mistral, etc.)
• LM Studio: User-friendly local model management
• vLLM: High-performance serving
• GPT4All: Simple local inference

Cloud Model Integration

Connect to cloud APIs:

• OpenAI: GPT-4, GPT-3.5
• Anthropic: Claude
• Azure: OpenAI models via Azure
• Hugging Face: Open-source models

Chat Interface

Ctrl+Shift+I: Open Continue chat
- Ask coding questions
- Request refactoring
- Generate tests
- Explain code

Core Features

Code Completion: Smart inline suggestions

Chat: Context-aware code discussion

Edit Mode: Collaborative code editing

Diff Viewing: Review changes before applying

Self-Hosting

Deploy on your servers:

# Docker deployment
docker run -v ~/.continue:/root/.continue \
  continuedev/continue

# Connect IDE to local instance

Excellent for enterprises with strict data policies.

Advanced Configuration

Custom System Prompts:

{
  "systemPrompt": "You are an expert in TypeScript..."
}

Local Model Setup:

# Download model with Ollama
ollama pull llama2

# Continue automatically uses it

Best Practices

1. Start with cloud models for best quality
2. Switch to local for privacy-critical work
3. Customize for your tech stack
4. Fine-tune local models if possible
5. Combine with git for version control

Limitations

• Smaller community than Copilot
• Local models often lower quality than cloud
• Setup complexity for self-hosting
• Limited IDE support compared to Copilot

When Continue Excels

• Privacy is critical
• You want full control
• Working offline frequently
• Running specialized models
• Enterprise deployment on premises

Conclusion

Continue.dev represents the best option for privacy-conscious developers wanting open-source AI assistance. Its flexibility and self-hosting capability make it ideal for enterprises and developers with strict data requirements. For pure coding quality, paid alternatives edge ahead, but for philosophy and control, Continue is unmatched.

FAQ

Q: Is Continue free? A: Yes, it's open-source and free. Cloud API costs depend on chosen provider.

Q: Can I run Continue completely offline? A: Yes, with local models through Ollama or LM Studio.

Q: Is Continue suitable for production? A: Yes, many developers use it professionally with cloud or fine-tuned local models.