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Continue

Open-source AI coding agent that runs in your IDE.

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developers
💰 Pricing
Free
⏱ Hours saved/wk
5
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Our take on Continue

What Continue Actually Is

Continue is an open-source IDE extension that turns any LLM into an in-editor coding assistant. It handles inline autocomplete, chat-based code generation, and slash commands for refactoring or explaining code. The key differentiator is flexibility: you're not locked into one model or one vendor.

Who It's Built For

Continue is a strong fit for developers who care about data privacy, want to run models locally, or need to work in air-gapped environments. It's also useful for teams that already pay for API access to a model like Claude or GPT-4o and don't want to pay a second subscription for a coding tool on top.

If you're comfortable editing a JSON config file and understand the basics of API keys or Ollama, the setup takes about 15 minutes. If you're not, expect a steeper ramp.

Where It Performs Well

Once configured, the chat interface is genuinely useful for context-aware Q&A about your codebase. The @file and @codebase context selectors let you pull specific files or symbols into the conversation without copy-pasting. Inline edit mode (highlight code, hit a shortcut, describe the change) works reliably for small-to-medium refactors.

The autocomplete quality depends entirely on the model you choose. Paired with a capable model like Claude 3.5 Sonnet or a well-tuned local model like DeepSeek Coder, it's competitive with Copilot for routine completions.

Real Limitations

The experience is noticeably rougher than polished SaaS alternatives. There's no automatic codebase indexing — you have to tell it what context to include. For large monorepos, this gets tedious fast. There's also no built-in team collaboration layer, so sharing prompts or configs across a team requires manual coordination.

The extension's UI has improved but still lags behind Cursor or Copilot Chat in polish. Some users report inconsistent autocomplete triggering depending on the language server and model latency.

Bottom Line

Continue earns its place for privacy-conscious developers, open-source advocates, and anyone who wants full control over their AI toolchain without a recurring SaaS fee. It's not the smoothest out-of-the-box experience, but the flexibility is real and the community is active. If you want zero configuration and just need it to work, Copilot or Cursor will serve you better.

Frequently asked questions

What IDEs does Continue support?

Continue has extensions for VS Code and JetBrains IDEs (IntelliJ, PyCharm, etc.). There is no standalone app — it lives entirely inside your editor.

Which AI models can Continue use?

Continue is model-agnostic. You can connect it to OpenAI, Anthropic, Mistral, local models via Ollama or LM Studio, or any OpenAI-compatible endpoint. You supply the API keys or run models locally.

Is Continue really free?

The extension itself is free and open-source (Apache 2.0). Your actual costs depend on which model backend you choose — local models are free to run, cloud APIs are billed by the provider.

How does Continue differ from GitHub Copilot?

Copilot is a managed SaaS product with a fixed model. Continue is self-configured — you choose the model, control your data, and can run everything offline. The tradeoff is more setup friction and no built-in model subscription.

What are Continue's biggest weaknesses?

Initial configuration can be tedious, especially wiring up local models. Context window management for large codebases is manual. There's no built-in cloud sync, team sharing, or enterprise access controls out of the box.

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Open-source AI coding agent that runs in your IDE.

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