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C
Framework Open Source

Continue

The extensible open-source AI coding framework

4.2 rating
Free tier
5 AI models
Open Source
Verified Mar 2026

Model Support

Codestral (Mistral) Ollama local models OpenAI Anthropic Custom APIs

Key Features

01

Customizable Autocomplete

Select models and configure multiline completion behavior

02

Chat Interface

IDE sidebar chat with codebase context

03

Inline Editing

Edit code directly in editor with AI assistance

04

MCP Support

Extend with Model Context Protocol servers

05

Local Model Support

Run entirely on-premise with Ollama

06

Transparent Configuration

config.yaml for full control over every setting

Ratings

Overall
4.2
3.5
Ease of Use
4.4
Features
4.8
Value for Money
4.0
Support

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 details
Open Source
Free
Teams
$15
/month
Enterprise
Free
§

Full 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:

  1. Install Ollama
  2. Download a local model (Codellama, Mistral, etc.)
  3. Point Continue at localhost
  4. 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:

  1. Privacy-conscious organizations
  2. Teams with custom or fine-tuned models
  3. Developers in air-gapped environments
  4. Those who want full control over their tools

Compare Continue With Others

Side-by-side breakdowns to help you decide.

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