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Built for people shipping with AI.

What is Continue?

Open-source AI coding assistant with autocomplete, chat, edit, and agent modes that works with any LLM in VS Code or JetBrains.

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Freemium (Free to use with limited features)

Overview

Continue is an open-source AI coding assistant that plugs into VS Code, JetBrains, and Neovim. You bring your own model, whether cloud APIs like Claude, GPT, and Gemini or local models via Ollama and LM Studio. It offers autocomplete, chat, inline edit, and agent modes with full project context awareness. Built for developers who want AI help without vendor lock-in, it's ideal for privacy-focused teams, JetBrains users, and anyone who wants to customize their AI workflow.

Key Features

  • Multi-Model Support: Connect to OpenAI, Anthropic, Google, or run local models with Ollama and LM Studio, giving you full choice over which LLM powers your workflow.
  • Autocomplete: Get inline code suggestions as you type, accept with Tab, and keep your flow without switching context.
  • Chat Mode: Ask questions, debug code, or brainstorm solutions in an IDE-native sidebar that understands your open files.
  • Edit Mode: Highlight code and describe changes in plain English, then review a diff before accepting refactors, docs, or bug fixes.
  • Agent Mode: Let the AI create files, run tools, and handle multi-step coding tasks while you review the changes.
  • Context Providers: Use @codebase, @file, @docs, @terminal, and @git to inject relevant project context and reduce hallucinations.
  • Custom Rules: Drop markdown files in .continue/rules/ to enforce team conventions that shape how the AI reasons about your code.
  • IDE Integration: Use Continue inside popular development environments, including VS Code and JetBrains IDEs. It brings AI coding assistance directly into the tools developers already use.

Pros

  • Full Model Freedom: Pick any LLM you want, swap between them anytime, and avoid lock-in to a single vendor.
  • Privacy-First Option: Run everything locally with Ollama for air-gapped environments where code can't leave your machine.
  • Free and Open Source: Apache 2.0 licensed with no feature paywalls, so solo developers pay nothing beyond model API costs.
  • Customizable Workflow: Custom slash commands, context providers, and rules let you tailor the assistant to your team's standards.
  • Local Model Support: Run compatible local models through tools like Ollama to keep more control over where code and prompts are processed.

Cons

  • Steep Setup Curve: Configuring API keys, models, and context providers takes more effort than plug-and-play tools like Copilot.
  • Inconsistent Polish: Users report bugs, awkward inline chat UX, and code edits that feel less refined than Cursor or Aider.
  • Maintenance Uncertainty: After the Cursor acquisition, the repo is read-only as of 2026 with new work depending on community forks.
  • Weaker Core Editing: The direct prompting approach can produce mediocre edits compared to more sophisticated competitors.
  • API Cost Variability: Heavy cloud model users may spend more monthly than a fixed subscription like Cursor Pro.

Use Cases

  • Privacy-Sensitive Development: Run Continue with Ollama on local hardware to get AI coding help without sending proprietary code to third-party servers. Ideal for regulated industries, government contractors, and enterprise teams with strict data policies.
  • JetBrains Power Users: Add modern AI assistance to IntelliJ, PyCharm, or WebStorm workflows where other tools fall short. Get the same autocomplete and chat features Copilot offers, in your preferred IDE.
  • Multi-Model Experimentation: Compare how GPT-4, Claude, Gemini, and open-source models handle your specific coding tasks. Switch models per request to find the best fit for autocomplete, refactoring, or code review.
  • Team Code Reviews: Use agent mode with custom rules to automate first-pass code reviews that enforce your team's conventions. Free up senior developers to focus on architecture instead of style checks.
  • Budget-Conscious Solo Coding: Pair local Ollama models for autocomplete with a low-cost Claude API for chat, keeping monthly costs at $1-3 while still getting a Copilot-class experience.
  • Custom AI Workflows: Build slash commands and context providers that match your specific tech stack, letting the assistant pull in framework docs, internal APIs, or git history on demand.

Frequently Asked Questions

Is Continue really free?

Yes, the Continue extension itself is free and open source under Apache 2.0. You only pay for the model API you connect it to, or nothing if you run local models with Ollama.

Which IDEs does Continue support?

Continue works with VS Code, JetBrains IDEs (IntelliJ, PyCharm, WebStorm, and others), and Neovim, offering the same core features across all of them.

Can I use Continue completely offline?

Yes. Pair it with local inference tools like Ollama, LM Studio, or vLLM to run everything on your own hardware without any cloud connection.

How does Continue compare to GitHub Copilot?

Copilot is more polished out of the box, but Continue offers model choice, local operation, and full customization. Copilot is a locked-in product while Continue is an open platform.

What happened with the Cursor acquisition?

Continue was acquired by Cursor and shipped a final 2.0.0 release. The repo is now read-only, so new features and fixes depend on community forks going forward.

Does Continue have a team plan?

Yes, the Teams plan costs $10 per user per month and adds shared configurations, team analytics, and priority support. An Enterprise plan with SSO and custom features is also available.

Which AI models can I use with Continue?

You can use OpenAI GPT models, Anthropic Claude, Google Gemini, and many others via API, plus any local model through Ollama, LM Studio, or llamafile.

Is Continue good for beginners?

It has a steeper setup curve than plug-and-play tools. Beginners who want zero configuration may prefer Copilot or Cursor, but developers willing to configure it get more flexibility.

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