Direct answer
What is Trae?
Trae is an AI-native development platform combining an interactive code editor with autonomous coding agent capabilities to execute software tasks from idea to deployment.
Trae (developed by SPRING (SG) PTE. LTD.) provides an integrated development workspace designed around human-AI collaboration. The platform splits into two primary experiences: TraeCode, an editor tailored for software engineering, and TraeWork, a broader AI work assistant available across desktop, web, and mobile. Within TraeCode, developers can toggle between standard IDE mode and SOLO mode. In IDE mode, the environment functions as a traditional editor enhanced with context-aware AI tools and CUE, a multi-line predictive inline completion system triggered by Tab. In SOLO mode, an autonomous agent takes over complex multi-step workflows, handling task planning, file creation, code execution, debugging, and deployment. Trae integrates external context through the Model Context Protocol (MCP), user-uploaded documentation, and web searches. It also includes an embedded preview browser tab that allows agents to interact with frontend elements, monitor console logs, and troubleshoot issues in real time. For security, Trae operates on a local-first principle for codebase storage, deleting plaintext files after temporary indexing for embeddings.
Trae lets developers switch dynamically between an interactive IDE with predictive tab completions and SOLO mode, an autonomous multi-step agent capable of planning, executing, and debugging complex architectural modifications across codebases.
Product capabilities
Key features
SOLO Autonomous Agent
An autonomous coding agent that plans workflows, invokes external tools, executes code changes across files, and deploys solutions.
CUE Inline Autocomplete
A single-keystroke completion model that predicts subsequent edits across multiple lines and applies suggestions via Tab.
Dual IDE and SOLO Modes
Provides the choice between interacting in a traditional editor workspace or delegating complete end-to-end tasks to autonomous agents.
Model Context Protocol (MCP) Support
Extensible agent connectivity that pulls in external tools, databases, and custom resources on demand.
Built-in Browser Preview
Integrated preview window allowing coding agents to view UI rendering, inspect elements, and read console logs during debugging.
Custom Agent Framework
Create specialized sub-agents with custom tools, specific logic, and defined skills to collaborate on multi-step workflows.
Practical fit
Who should use Trae?
End-to-End Application Scaffolding
Delegating requirements definition, boilerplate creation, database integration, and UI setup to SOLO mode.
Rapid Iterative Editing
Using CUE tab-completion to anticipate code patterns and repetitive logic across multi-line blocks.
Live Web Debugging
Allowing the coding agent to inspect web preview errors and console outputs directly within the IDE.
Editorial assessment
Pros and limitations
Where it is strong
- Seamless toggle between manual editor intervention and autonomous agent execution
- Native Model Context Protocol (MCP) integration for connecting custom external tooling
- Generous free tier with accessible paid entry points starting at $3 per month
- Integrated live preview tab enables autonomous UI inspection and console debugging
Where to be careful
- Relies on cloud model infrastructure with usage-based consumption caps across tiers
- Code embeddings require temporary remote processing, which may conflict with strict data handling rules
Commercial context
Trae pricing
Pricing snapshot as of September 2026: Trae offers a Free tier alongside paid plans (Lite at $3/month, Pro at $10/month with a 7-day trial, Pro+ at $30/month, and Ultra at $100/month). Enterprise inquiries route through BytePlus. Verify details directly on the vendor's pricing page.
Pricing, limits, taxes, model access, and regional availability can change. Verify the purchase-critical details on the official pricing page linked under Sources.
Transparent ranking
Why Trae scores 74.9
Each factor is scored on a 100-point scale, then combined using the public ToolsRank weights. Engagement and momentum stay at a neutral baseline until measured signals exist, so no tool can gain or lose position from numbers nobody recorded.
Compatibility
Languages, platforms, and integrations
Languages
- English
Integrations & surfaces
- Model Context Protocol (MCP)
- BytePlus
- Google Gemini
- Microsoft Azure OpenAI
Community
Reviews and questions
No approved member reviews yet. Editorial factors above are the only rating on this page.
Reviews and questions come from Google-signed members and are checked by an editor before they appear.
Frequently asked
Trae FAQ
What is the difference between IDE mode and SOLO mode in Trae?+
IDE mode integrates AI assistance into standard coding practices, providing inline suggestions and chat copilots while keeping the developer directly in control. SOLO mode delegates the development process to an autonomous agent that plans steps, writes code, uses tools, and handles deployment end-to-end.
How does Trae protect user code and privacy?+
Trae adheres to a local-first architecture where codebase files reside on your local machine. Temporary plaintext file uploads used for generating vector embeddings are deleted after processing. Users can also configure Privacy Mode and ignore rules to prevent specific files from being shared.
What models power Trae's AI capabilities?+
According to the vendor's documentation and privacy disclosure, Trae routes inputs through integrated foundation models, including third-party developers such as Google (Gemini) and Microsoft (GPT), alongside custom models optimized for code completion.
What is the Model Context Protocol (MCP) in Trae?+
Model Context Protocol is an open standard supported by Trae that lets autonomous agents access external tools, services, and local context dynamically to execute tasks accurately.
