Model Support
Key Features
Customizable Autocomplete
Select models and configure multiline completion behavior
Chat Interface
IDE sidebar chat with codebase context
Inline Editing
Edit code directly in editor with AI assistance
MCP Support
Extend with Model Context Protocol servers
Local Model Support
Run entirely on-premise with Ollama
Transparent Configuration
config.yaml for full control over every setting
Ratings
Strengths & Limitations
Strengths
- Maximum flexibility and customization
- Can run entirely locally and offline
- No data sent to proprietary services
- Strong for teams with custom LLM requirements
- Active open-source community
- Full control over model selection
Limitations
- Steeper setup compared to commercial tools
- Less polished UX than Cursor or Copilot
- Requires understanding of model selection and configuration
- Smaller user base means fewer tutorials and community answers
Best For
- Teams prioritizing privacy and data control
- Organizations with custom LLM requirements
- Developers wanting complete technical control
- Projects requiring offline capability
- Air-gapped environments
Pricing Overview
View full detailsFull Review
My Take
Continue is the “DIY” option—and I mean that as a compliment.
I spent two hours configuring it. Different models for different tasks: fast local model for autocomplete (instant, free), Claude for chat (thoughtful, paid), GPT-4 for code review (thorough). The result? A setup that beats any single-model tool for my workflow.
The catch: You need to want this level of control. If you just want AI coding to work out of the box, use Cursor or Copilot. If you want to run entirely locally, use custom models, or have specific privacy requirements—Continue is your tool.
The autocomplete is underrated. With the right model (I use deepseek-coder locally), it’s as fast as Copilot and costs nothing per completion.
Bottom line: Power user’s paradise, but the learning curve is real. Give yourself an afternoon to set it up properly—or you’ll bounce off and miss what makes it great.
Overview
Continue is for developers who want complete control over their AI coding experience. It’s not just open-source—it’s designed from the ground up for maximum customization and privacy.
Model Agnostic
Continue works with virtually any LLM:
# config.yaml examples
models:
- name: Claude
provider: anthropic
model: claude-3-sonnet
- name: Local Codellama
provider: ollama
model: codellama:13b
- name: Custom API
provider: openai-compatible
baseUrl: https://your-api.com/v1
Offline Capability
For teams with strict data requirements, Continue can run entirely offline:
- Install Ollama
- Download a local model (Codellama, Mistral, etc.)
- Point Continue at localhost
- Zero data leaves your machine
Configuration as Code
Every aspect of Continue is configurable via YAML:
- Model selection for chat and autocomplete
- Context providers (codebase, documentation, URLs)
- Slash commands
- Custom system prompts
- Keyboard shortcuts
Who Should Use Continue
Continue is perfect for:
- Privacy-conscious organizations
- Teams with custom or fine-tuned models
- Developers in air-gapped environments
- Those who want full control over their tools
Compare Continue With Others
Side-by-side breakdowns to help you decide.
All comparisons →