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Continue – Continue AI 编程扩展

Open-source AI code assistant for VS Code and JetBrains

View on GitHub ↗ 在 GitHub 查看 ↗ Official Website ↗ 官方网站 ↗ ⚖️ Compare
Category分类
AI Tool AI 工具
ai-tools
GitHub StarsGitHub 星数
35k+
Community adoption社区认可度
License许可证
Apache-2.0
Check repository 查看仓库
Tags标签
code, ide, productivity
4 tags total个标签

What Is Continue? Continue 是什么?

Continue is an open-source project with 35k+ GitHub stars. Licensed under Apache-2.0. Open-source AI code assistant for VS Code and JetBrains

The project focuses on code, ide, productivity use cases and is designed as a ready-to-use application—you can deploy or run it directly without writing integration code.

Source code is available at github.com/continuedev/continue. With 35k+ GitHub stars, it ranks among the most battle-tested open-source tools in this space—meaning most common use cases are well-documented with community solutions available.

Continue's 35k+ stars reflect its strength for developers migrating from GitHub Copilot who need local-first inference without vendor lock-in. Unlike Copilot's cloud dependency, Continue processes code locally, reducing latency and privacy concerns. However, teams requiring sophisticated multi-file refactoring should evaluate commercial alternatives, as open-source tooling here remains less mature.

Continue's 35k+ stars reflect its strength for developers migrating from GitHub Copilot who need local-first inference without vendor lock-in. Unlike Copilot's cloud dependency, Continue processes code locally, reducing latency and privacy concerns. However, teams requiring sophisticated multi-file refactoring should evaluate commercial alternatives, as open-source tooling here remains less mature.

— AI Nav Editorial Team

Who Should Use Continue? 谁适合使用 Continue?

Good Fit For适合以下场景

  • Development teams looking to improve code generation, completion, and review throughput
  • Individual developers who want AI-assisted coding integrated directly into their IDE
  • Developers and end users who want to use AI capabilities quickly without building integrations from scratch

Not Ideal For不适合以下场景

  • Non-technical users (code tools require programming fundamentals)
  • Codebases with strict audit requirements (AI-generated code must pass human review before merging)

Key Features 核心功能

  • 🔌
    LLM Provider Flexibility — Connect to Ollama, OpenAI, Anthropic, or custom endpoints without vendor lock-in. Switch models and providers by editing config files.
  • ⚙️
    Config-Driven Customization — Define custom system prompts, context providers, and slash commands via JSON configuration. Tailor behavior to your team's coding standards.
  • 💻
    Dual IDE Support — Native extensions for both VS Code and JetBrains IDEs. Consistent AI-assisted coding experience across your entire development toolkit.
  • 🔓
    Fully Open-Source — Audit, fork, and modify the complete source code. No proprietary dependencies mean full transparency and community-driven development.
  • 📝
    Context-Aware Prompting — Customizable context providers automatically inject relevant code files, documentation, and codebase context into AI requests for smarter suggestions.

Pros & Cons 优缺点

Pros优点

  • Open-source VS Code and JetBrains extension for AI-assisted coding
  • Works with any LLM — Ollama, OpenAI, Anthropic, or custom endpoints
  • Highly customizable with config files for system prompts and context providers
  • Free alternative to GitHub Copilot that works with local models

Cons缺点

  • Quality of suggestions depends entirely on the underlying model — much better with GPT-4o/Claude than smaller local models
  • Fewer pre-built integrations than GitHub Copilot
  • Less polished UI compared to Cursor's native IDE experience

Use Cases 应用场景

Continue is used across a wide range of applications in the AI development ecosystem. Here are the most common scenarios where teams choose Continue:

💻 Open-Source AI Coding Assistant

AI-powered code completion, chat, and editing in VS Code and JetBrains—connect to any LLM (cloud or local) with full codebase context awareness.

🔧 Custom Slash Commands

Define project-specific AI commands like '/explain-architecture' or '/generate-tests'—Continue executes your prompt with full context and applies changes to files.

🏠 Completely Offline AI Coding

Pair with Ollama or LM Studio for AI-assisted coding with zero data leaving your machine—all features work entirely offline.

Getting Started with Continue Continue 快速开始

code --install-extension Continue.continue
Cmd+L to open chat
💡 VS Code / JetBrains extension. Configure model in ~/.continue/config.json. Supports 20+ LLM providers including local models via Ollama. Free and open-source.
Get Started with Continue 立即开始使用 Continue
Visit the official site for documentation, downloads, and cloud plans. 访问官方网站获取文档、下载和云端方案。
Visit Official Site ↗ 访问官方网站 ↗

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Compare Continue with Alternatives 对比 Continue 与竞品

Related Guides & Articles 相关指南与文章

Learn more about Continue and its ecosystem with these in-depth guides from AI Nav:

通过以下 AI Nav 深度指南,进一步了解 Continue 及其生态系统:

Best AI Coding Assistants in 2026: Cursor vs Aider vs Copilot
Honest comparison with score grids, decision matrix, and real-world trade-offs.
Best AI Coding Assistants in 2026: Cursor vs Cline vs Copilot vs Aider
Deep dive into 5 tools with pricing, model support, and a 7-scenario decision matrix.

Frequently Asked Questions 常见问题

What is Continue?
Continue is an open-source AI coding assistant extension for VS Code and JetBrains IDEs. Unlike GitHub Copilot, it works with any LLM provider including local Ollama models, making it a flexible, privacy-preserving alternative.
Is Continue free?
Yes, Continue is Apache 2.0 licensed and completely free. You only pay for the LLM API you connect it to — use Ollama with local models for zero API costs.
Continue vs GitHub Copilot — which is better?
GitHub Copilot has better out-of-the-box quality and broader IDE support. Continue is more flexible (any model), open-source, and free. For developers who want to use local or custom models, Continue is the right choice. For those who want the best quality without configuration, Copilot is more polished.
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