Continue Labs · Continue: Open-Source Coding Assistant with Model Flexibility
Free, open-source IDE extension for VS Code and JetBrains. Choose any AI model (Claude, GPT-4, local, etc), deploy self-hosted, and avoid vendor lock-in—built for developers who want full control.
Best for
Developers and teams who value model flexibility, avoid vendor lock-in, and want to configure every aspect of their AI coding experience—including local/self-hosted options
Not ideal for
Teams wanting a plug-and-play solution with minimal setup, or organizations needing enterprise support and managed deployment
Who it's for
Developers seeking open-source, model-agnostic AI coding assistance with full control over model choice, deployment, and customization
Continue is the best choice if you want to avoid vendor lock-in and maintain maximum control over your coding environment. The model-agnostic design is powerful — you can experiment with different providers, switch to local models for privacy, or build custom integrations via MCP. The downside is setup friction: Continue requires configuration and assumes technical competence. If you want a frictionless out-of-the-box experience, Cursor or Windsurf are better. But if you value control and open-source principles, Continue is the clear winner.
Who should use it
Developers who want to avoid vendor lock-in and maintain portability, teams with privacy requirements or air-gapped deployments, organizations using open-source models or custom LLM deployments, developers who want to experiment with multiple AI models, and projects needing custom integrations via MCP or custom plugins.
Who should skip it
Teams wanting minimal setup with a polished out-of-the-box experience, non-technical users or those uncomfortable with configuration, organizations needing enterprise support and managed deployment, projects where initial productivity matters more than long-term flexibility, and teams unable to manage API keys or model provider subscriptions.
A startup avoiding cloud APIs for cost and privacy reasons
Continue with Ollama runs locally on a developer's machine. Zero monthly cloud costs, and code never leaves the company. As the startup grows, they can upgrade to cloud models without changing their Continue setup.
A financial services firm needing air-gapped coding assistance
Continue with a private LLM deployment ensures code stays on company infrastructure. No API calls to OpenAI or other cloud providers.
A team evaluating different AI models for coding tasks
Continue lets them experiment with GPT-4, Claude, Gemini, and open-source models in the same interface, then measure performance and costs to decide which is best.
An internal developer platform team integrating Continue with custom tools
Via MCP, they can connect Continue to their internal API, deployment tool, incident tracker, and docs. Engineers get AI-assisted coding without leaving their tools.
Continue vs. Cursor
Cursor is a polished, VS Code-based IDE with built-in AI and an opinionated experience. Continue is an extension that requires configuration but offers maximum flexibility. Choose Cursor for ease of use; choose Continue for control and portability.
Continue vs. GitHub Copilot
GitHub Copilot is tightly integrated into GitHub and works with a single model (GitHub's). Continue lets you choose any model and deploy anywhere. Choose Copilot for simplicity; choose Continue for flexibility and avoiding vendor lock-in.
Continue vs. Windsurf
Windsurf is a full AI-native editor with a polished experience. Continue is a lightweight, configurable extension. Windsurf is better for developers who want a complete IDE reimagined around AI; Continue is better for developers who want to add AI to their existing IDE.
Continue vs. Sourcegraph Cody
Cody is enterprise-focused with multi-repo context and compliance features. Continue is free, open-source, and model-agnostic. Choose Cody for enterprise needs; choose Continue for maximum flexibility and open-source principles.
Is Continue truly free?
Yes. Continue is completely free and open-source. You may have costs if you choose a cloud model provider (OpenAI, Anthropic, etc) and use their API, but Continue itself is free.
Can I run Continue with local models like Ollama?
Yes. Continue supports local models via Ollama, vLLM, and other open-source model servers. This lets you run Continue entirely offline without any cloud dependency.
What is the Model Context Protocol (MCP)?
MCP is an open standard that lets you connect Continue to custom tools and data sources—internal APIs, databases, design docs, etc. This lets you extend Continue with your own integrations.
Does Continue require me to use a specific model?
No. You can choose from 50+ providers and models including OpenAI's GPT-4, Anthropic's Claude, Google Gemini, open-source models, or private deployments. Switch anytime without losing your setup.
Is my code private when I use Continue?
If you use local models (Ollama), your code never leaves your machine. If you use a cloud provider, it depends on your provider's privacy policy. Continue itself does not store or use your code.
Anysphere
VS Code developers who want multi-file AI editing, autonomous background agents, and model flexibility — not a plugin layered on top of an existing editor
FreemiumGitHub (Microsoft)
Developers on GitHub who want AI autocomplete and PR summaries embedded in their existing IDE
PaidCodeium
Developers who want an AI agent that can autonomously plan and execute larger coding tasks
FreemiumContinue is an open-source AI coding assistant that runs as an IDE extension in VS Code and JetBrains. Its core philosophy is that you should own your AI coding experience — you choose the model (OpenAI, Anthropic Claude, Google Gemini, local models via Ollama, or any provider), decide where it runs (cloud or self-hosted), and customize every aspect of how it works. Continue offers multiple interaction modes: Chat for conversational code questions, Plan mode to review potential changes before they execute, and Agent mode for autonomous multi-step coding tasks. It is free to use, though running cloud models requires your own API keys or subscriptions to those providers. Unlike closed tools, Continue's extensibility means teams can add custom commands, integrate internal tools via the Model Context Protocol (MCP), and deploy self-hosted without cloud dependency. This makes it a strong choice for developers who want to avoid vendor lock-in or who work in privacy-sensitive environments.
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