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Continue

Continue

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Fully open-source, bring-your-own-model AI coding assistant for VS Code and JetBrains with offline local model support.

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Continue

Continue is a fully open-source AI coding assistant plugin that aims to give developers a quality-control layer for their software factory. It supports mainstream IDEs such as VS Code and JetBrains and gives users 100% control over model choice, freeing coding and code review from vendor lock-in. If you have exacting demands on code privacy and cost control, or simply do not want to migrate off your main development environment, it is an excellent choice.

Core Capabilities

  • Switch freely between models: Connects seamlessly to any cloud LLM (such as Claude 3.5 Sonnet or GPT-4o) or to local open-source models deployed through Ollama.
  • Whole-codebase understanding: The @codebase command plus the MCP (Model Context Protocol) connect external documentation and tools for a highly customized understanding of complex project architecture.
  • Immersive inline editing: A hotkey-activated multi-step autonomous Agent mode, smart Autocomplete, and contextual chat Q&A.
  • Automated code checks: Team engineering standards can be captured in Markdown format and run automatically as GitHub status checks on every pull request.
  • Seamless IDE integration: Runs as a native extension in VS Code and JetBrains, so developers never have to change their existing workflow or be forced onto a custom editor.

Use Cases Best suited to enterprises and hardcore enthusiasts with strict privacy-compliance requirements around core code assets who want 100% local, offline development; equally fitting for independent developers chasing maximum cost efficiency who prefer paying per use directly against LLM APIs.

Unique Advantages Compared with Cursor's closed ecosystem and Copilot's hefty monthly fee, Continue's killer feature is complete open-source transparency and hacker-grade flexibility. It is one of the few AI coding companions that truly hands data control and pricing power back to developers.

Editor's Review This is easily the most hacker-spirited AI coding assistant available today. Although initial setup takes some effort, and multi-file refactoring is slightly less smooth than in deeply customized standalone editors, it makes up for that with absolute data security, extremely low long-term cost, and unmatched customization room. For hands-on programmers who stay loyal to their native IDE, it is the best foundation for building a private AI coding stack.

Pricing

### 💰 定价模式：免费增值 **起步价**：免费 #### 主要方案 - **Solo版**：免费 - 核心插件免费且开源，支持自备模型 API Key 或使用本地模型。 - **Starter版**：预估 $3/百万 Token - 无需配置 API，通过购买点数直连前沿大模型。 - **Team版**：$20/月 - 提供共享密钥、私有代理、团队 Prompt 模板库及 SSO 统一登录。 #### 试用/其他信息 企业版支持定制本地化私有部署、SAML/OIDC SSO 和严格的数据访问控制合规。 — Visit website

FAQ

Is Continue free?

The core IDE plugin is fully open source and free, with support for bring-your-own-model (BYOM). For advanced agent and data management features, a team plan starts at $20/month, or you can choose usage-based pricing.

What can Continue be used for?

Continue provides strong AI-assisted coding features, including inline editing, whole-repository code understanding, intelligent Q&A, and automated code review built on Markdown standards.

How does Continue achieve whole-codebase understanding?

Through the @codebase command combined with the MCP (Model Context Protocol), Continue efficiently connects project architecture documentation and various tool sources to grasp code context precisely.

Which large language models does Continue support?

Continue is highly inclusive: you can freely configure API keys for cloud models such as GPT-4o and Claude 3.5, and it fully supports connecting local open-source models through Ollama and similar tools.

How is Continue different from Cursor?

Cursor's advantage is that it works out of the box but requires switching to its dedicated IDE; Continue wins by requiring no migration from your existing VS Code/JetBrains setup, with fully open-source transparency and independent control over model configuration.

Can I use Continue in an offline corporate network?

Absolutely. You can deploy open-source local models through Ollama and similar tools and pair them with the Continue plugin for 100% offline local code inference, eliminating data leakage risk entirely.