Continue Dev Review 2026
A comprehensive review of Continue.dev — features, pricing, pros, cons, and who it's best for in 2026.
Overview
Continue is an open-source AI code assistant that integrates directly into VS Code and JetBrains IDEs, providing a customizable and privacy-focused alternative to commercial AI coding tools. Unlike closed-source assistants that lock you into a specific model provider, Continue gives you complete freedom to choose any LLM backend — from OpenAI and Anthropic to local models running on your own machine through Ollama or LM Studio.
What makes Continue unique is its extensibility and transparency. The entire platform is open source, meaning you can inspect the code, contribute features, and customize every aspect of how AI assistance works in your editor. Continue features a chat interface, inline code suggestions, an intelligent codebase search that understands semantic meaning, and a customizable prompt system that lets you define exactly how the AI behaves for different tasks.
In 2026, Continue has become one of the most popular open-source AI coding tools, with a thriving community contributing models, integrations, and improvements. It now supports advanced features like multi-file editing, automated refactoring, test generation, and documentation creation. For developers who want full control over their AI coding assistant, value privacy, or need to use local models for security reasons, Continue offers the most flexible and capable open-source solution available.
Key Features
- ? Any LLM Support: Use any model provider including OpenAI, Anthropic, Google, local models via Ollama, llama.cpp, LM Studio, or custom API endpoints — switch between them freely.
- ? VS Code & JetBrains: Seamless integration with both VS Code and all JetBrains IDEs (IntelliJ, PyCharm, WebStorm, GoLand, etc.) with consistent features across platforms.
- ? Customizable Prompts: Define custom prompt templates for different tasks like code review, test generation, refactoring, or documentation — with full control over system messages and context.
- ? Codebase Search: Semantic codebase search that understands the meaning behind your queries, not just keyword matching, making it easy to find relevant code and documentation.
- ? Privacy-First: All data stays on your machine when using local models. Even with cloud APIs, Continue minimizes data sent and never stores your code on third-party servers.
Pros
- ? Completely free and open source with no restrictions
- ? Unmatched flexibility — use any model, any provider
- ? Excellent local model support for offline and private use
Cons
- ? Requires manual setup and configuration
- ? Less polished UI compared to commercial alternatives
- ? Local model quality varies significantly
Pricing
Continue is completely free and open source with no paid tiers or subscriptions. You only pay for the AI model usage if using cloud providers (OpenAI, Anthropic, etc.). Local models through Ollama or LM Studio are completely free to use with no token costs. The project is maintained by the community and Continue's core team, with funding from donations and enterprise support services.
Who Is It For?
Continue is ideal for developers who value privacy, want to use local AI models, or need the flexibility to switch between different model providers. It's particularly well-suited for security-conscious organizations that cannot send code to cloud APIs, developers experimenting with different LLMs, and JetBrains users who want AI assistance without leaving their preferred IDE. For developers who want a plug-and-play solution with minimal setup, commercial tools like GitHub Copilot or Cursor may be more accessible.
Comparisons & Alternatives
Compared to GitHub Copilot, Continue offers more model flexibility and better privacy but less polished code completions. Aider provides more advanced git integration for terminal users. Cursor offers a more integrated AI-native IDE experience. Cline provides autonomous task execution optimized for Claude models. Windsurf combines AI features with a complete VS Code-compatible IDE. For JetBrains users specifically, Continue is the best open-source AI assistant option available.
Frequently Asked Questions
Q: How do I set up Continue with local models?
Install Ollama or LM Studio, download a model like CodeLlama or DeepSeek Coder, and configure Continue to use the local API endpoint. Continue's documentation provides step-by-step guides for each local provider.
Q: Can I use Continue with my company's private LLM?
Yes, Continue supports custom API endpoints and can connect to any OpenAI-compatible API, including privately hosted models, Azure OpenAI, AWS Bedrock, and Google Cloud Vertex AI.
Q: Does Continue support code completions as I type?
Yes, Continue provides inline code completions (tab completions) similar to GitHub Copilot. The quality depends on the underlying model — GPT-4o and Claude offer excellent completions while local models vary by size and capability.