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Trae

Trae

Officially listed

Next-generation AI-native IDE from ByteDance with autonomous agents, predictive edits, and multi-model support.

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Trae

Trae is a VS Code-based native AI integrated development environment (IDE) from ByteDance, designed to go beyond traditional code completion and act as an "AI engineer." It combines autonomous agents with strong context awareness, helping developers go from idea to launch in one continuous flow.

Core Capabilities

  • SOLO mode (autonomous agent): Enter requirements in natural language and it plans workflows, writes multi-file code, and runs terminal commands on its own, enabling end-to-end automated project development.
  • CUE predictive edits: Intelligently understands developer intent and predicts next actions, letting one "Tab" keystroke apply multi-line suggestions for a silky-smooth writing experience.
  • Top multi-model aggregation: Freely switch among the world's leading models, including Claude 3.5/3.7, GPT-4o, DeepSeek R1/V3, and ByteDance's Doubao.
  • Deep context and MCP support: Precisely senses local codebase context and supports the Model Context Protocol (MCP), easily connecting databases and external tools.
  • Seamless VS Code continuity: 100% compatible with the VS Code extension marketplace; import your settings, keybindings, and plugins in one click for zero learning cost.
  • Image-to-code building: The Image-to-Code feature quickly reproduces UI designs from screenshots, dramatically speeding up frontend prototyping.

Who It's For Ideal for individual developers, indie hackers, product managers, and students validating ideas quickly or building full-stack sites. For developers who want stable access to full-powered DeepSeek at exceptional value, it is a rare productivity weapon.

Unique Advantages Compared with copilot-focused Cursor, Trae leans harder into the end-to-end automated build experience, like having an outsourced engineer. Its aggressive pricing, generous free tier, and excellent support for localized networks make it stand out in the fiercely competitive AI IDE race.

Editor's Review As ByteDance's heavyweight entry into AI coding, Trae shows phenomenal potential. An elegant, fluid interface, rich multi-model choices, and the impressive SOLO mode make everyday coding and complex requirement breakdowns remarkably easy. If Cursor feels expensive or you want a more capable alternative, this is currently the best choice.

Pricing

### 💰 定价模式:免费增值 **起步价**:免费 #### 主要方案 - **Free (免费版)**:$0/月 - 每月 5000 次代码补全、2个基础云端并发任务及基础 AI 对话 - **Lite (轻量版)**:$3/月 - 无限次代码补全、$5 基础使用额度、快速排队优先级 - **Pro (专业版)**:$10/月 - 无限次代码补全、$20 基础使用额度、支持 10 个云端并发任务 - **Ultra (旗舰版)**:$100/月 - 无限次代码补全、$400 基础使用额度、新模型抢先体验 #### 试用/其他信息 提供年付 25% 折扣,同时针对中国用户支持支付宝结算。Trae 的定价体系具有极高的性价比。 — Visit website

FAQ

Is Trae free?

Trae offers a generous free version with 5,000 code completions per month and basic AI chat. Its Lite plan costs just $3/month for unlimited completions — outstanding value overall.

What can Trae be used for?

Trae serves as an all-in-one AI coding assistant offering multi-line code prediction, code generation, refactoring, and debugging. Its unique SOLO mode can even autonomously plan and complete end-to-end multi-file project development from natural language.

How does Trae differ from Cursor?

Cursor focuses on extremely precise completions and iterative edits as an excellent "copilot," while Trae emphasizes autonomous agent capability — SOLO mode takes over project builds like an "outsourced engineer," at a lower price point.

Which large models does Trae support?

Trae deeply integrates top global models, including Claude 3.5/3.7 Sonnet, GPT-4o, DeepSeek R1/V3, and ByteDance's in-house Doubao model, with free switching based on your needs.

Is Trae compatible with my existing VS Code plugins?

Fully compatible. Trae is deeply customized from VS Code and is 100% compatible with the VS Code extension marketplace. Import your existing settings, keybindings, and all plugins in one click for seamless zero-cost migration.

Who is Trae for?

Trae suits individual developers, indie hackers, students, and product managers who need to validate ideas fast. It is also friendly to developers in network-restricted regions who want stable access to top AI models.