Trae
Adaptive AI IDE by ByteDance with deep model integration
Quick Take: Trae
Trae is a compelling newcomer to the AI IDE space that punches above its weight. The combination of free pricing, multi-model support, and the Builder agentic agent makes it worth serious evaluation for any developer considering AI-assisted coding. While it hasn't yet reached Cursor's maturity or community size, its adaptive intelligence and ByteDance's resources suggest rapid improvement. For developers who want to try an AI IDE without any financial commitment, Trae is the clear starting point.
What is Trae?
Trae is ByteDance's adaptive AI IDE designed to deeply integrate AI assistance into every aspect of the development workflow. Built from the ground up as an AI-native integrated development environment, Trae goes beyond simply adding a chatbot to an editor—it weaves AI capabilities into code navigation, debugging, refactoring, and project understanding. The IDE features an intelligent agent called 'Builder' that can understand complex instructions, plan multi-step implementations, and execute changes across multiple files while providing real-time progress updates. Trae supports major programming languages including TypeScript, Python, Java, Go, and Rust, and offers a familiar VS Code-like interface that reduces the learning curve for developers transitioning from other editors. What sets Trae apart is its adaptive approach: the AI learns your coding patterns, project structure, and preferences over time, becoming more accurate and relevant the longer you use it. It offers both a powerful inline completion engine and a conversational chat interface for longer interactions, with the ability to reference specific files, functions, or documentation. Trae offers a free tier and affordable paid plans starting at just $3/month, making it an accessible entry point into AI-assisted development.
Install with Homebrew
brew install --cask traeKey Features
Builder (Agentic Mode)
Builder is Trae's autonomous agent that can handle complex, multi-step coding tasks. Describe a feature like 'Add user authentication with JWT tokens and a login page,' and Builder plans the implementation, creates the necessary files, writes the code, and shows you the changes step by step. You can approve, modify, or reject each step before it's applied.
Adaptive Code Intelligence
Trae's AI adapts to your specific codebase and coding style over time. It analyzes your patterns—naming conventions, error handling approaches, architectural preferences—and adjusts its suggestions accordingly. After a few sessions, completions feel less generic and more like code you would write yourself.
Inline Completions
Fast, context-aware code completions that predict not just the next line but entire logical blocks. The completion engine considers your current file, imported modules, and recent edits to provide suggestions that fit naturally into your existing code flow.
AI Chat with File References
A built-in chat interface lets you have conversations about your code with the ability to reference specific files, functions, or code blocks using @ mentions. Ask questions like '@auth.ts explain the token refresh logic' or 'how does @UserModel relate to @OrderModel?' for context-grounded answers.
Multi-Model Support
Trae supports multiple AI models including Claude Sonnet 4.6, GPT-5.5, GPT-5.4, and DeepSeek R1, allowing you to choose the best model for different tasks. Use faster models for autocomplete and more powerful models for complex reasoning and code generation. Pro and higher tiers include TRAE SOLO mode for concurrent cloud tasks.
Who Should Use Trae?
1Full-Stack Developer
A developer needs to add a new API endpoint with database integration, validation, and tests. They open Trae's Builder mode and describe the requirements. Builder creates the route handler, Zod schema, Prisma query, and Jest test file—all following the existing patterns in the project. The developer reviews each generated file and approves the changes in under 10 minutes.
2Frontend Developer
A frontend developer is building a complex data table component with sorting, filtering, and pagination. They describe the requirements in Trae's chat, referencing the existing design system components with @ mentions. Trae generates the component using the project's existing patterns—using the same styling approach, state management library, and component structure as the rest of the codebase.
3Developer New to a Codebase
A developer joins a new team and needs to understand a large, unfamiliar codebase. They use Trae's chat to ask questions like 'How is authentication handled in this project?' and 'What's the data flow from the API to the UI for the dashboard page?' Trae analyzes the codebase and provides clear, contextual explanations with references to specific files and functions.
Install Trae on Mac
Trae is available through Homebrew as a native macOS application. It offers a free tier with paid upgrades starting at just $3/month for Lite and $10/month for Pro (7-day free trial available).
Install Homebrew
If you don't have Homebrew, open Terminal and run: `/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"`
Install Trae
Run the cask installation command: `brew install --cask trae`
Import Settings
On first launch, Trae offers to import your VS Code extensions, themes, and keybindings. Accept the import to maintain your familiar development environment while gaining AI capabilities.
Configuration Tips
Choose Your Model
Trae supports multiple AI models. For daily coding, Claude 3.5 Sonnet offers the best balance of speed and quality. For complex architectural questions, switch to a more powerful model in the chat settings.
Import VS Code Extensions
Trae supports VS Code extensions. Import your favorite extensions during setup to maintain your development workflow while adding AI capabilities.
Use Builder for Multi-File Tasks
When a task involves changes across multiple files (adding a feature, refactoring), use Builder mode instead of inline chat. Builder plans the entire implementation before executing, producing more cohesive results.
Alternatives to Trae
Trae competes directly with other AI-native code editors, each offering different approaches to AI-assisted development.
Cursor
Cursor is the market leader in AI code editors with a mature feature set including Composer (multi-file editing), codebase indexing, and a large community. Trae's key advantage is its free pricing and adaptive intelligence that improves with usage.
Windsurf
Windsurf offers similar AI IDE capabilities with its Cascade agent. Trae differentiates with its adaptive learning approach and ByteDance's investment in model infrastructure.
Kiro
Kiro (Amazon) focuses on spec-driven development with explicit planning phases. Trae takes a more flexible, adaptive approach that lets you jump directly into coding with AI assistance.
Pricing
Trae offers a **Free** tier with limited access to AI models. The **Lite** plan is just **$3/month** and includes $5 basic usage + bonus usage, unlimited autocomplete, and up to 2 concurrent cloud tasks in TRAE SOLO. The **Pro** plan is **$10/month** (7-day free trial available) with $20 basic usage + bonus usage, unlimited autocomplete, and up to 10 concurrent cloud tasks. The **Pro+** plan is **$30/month** with 3.5x more usage than Pro and up to 15 concurrent tasks. The **Ultra** plan is **$100/month** with 20x more usage, model early access, and up to 20 concurrent tasks.
Pros
- ✓Very affordable pricing starting at just $3/month for Lite tier
- ✓Builder agent handles complex multi-file implementations
- ✓Adaptive AI that learns your coding patterns over time
- ✓Familiar VS Code-like interface with extension support
- ✓Multi-model support (Claude Sonnet 4.6, GPT-5.5, GPT-5.4, DeepSeek) built in
- ✓TRAE SOLO mode for concurrent cloud task execution
Cons
- ✗Newer product with smaller community than Cursor
- ✗Pro tier ($10/month) required for meaningful usage limits
- ✗ByteDance association raises data privacy concerns for some users
- ✗Fewer community resources and tutorials compared to Cursor
Community & Support
Trae has a growing community with official Discord, documentation, and social media presence. As a newer entrant to the AI IDE space, the community is smaller but enthusiastic. ByteDance provides regular updates and actively solicits user feedback for feature prioritization.
Frequently Asked Questions about Trae
Our Verdict
Trae is a compelling newcomer to the AI IDE space that punches above its weight. The combination of free pricing, multi-model support, and the Builder agentic agent makes it worth serious evaluation for any developer considering AI-assisted coding. While it hasn't yet reached Cursor's maturity or community size, its adaptive intelligence and ByteDance's resources suggest rapid improvement. For developers who want to try an AI IDE without any financial commitment, Trae is the clear starting point.
About the Author
Expert Tips for Trae
Use Builder mode for any task involving more than two files. The planning step ensures coherent changes across the codebase, whereas inline suggestions may miss cross-file dependencies.
Related Technologies & Concepts
Related Topics
Sources & References
Key Verified Facts
- Official website confirming Trae is an adaptive AI-native IDE that integrates advanced LLMs directly into the coding, debugging, and refactoring workflow.[cite-1]
- Official documentation detailing the 'Builder' intelligent agent, which autonomously plans multi-step implementations and executes terminal commands.[cite-2]
- Explains how Trae indexes the local codebase to provide deep project understanding, enabling context-aware AI suggestions and file navigation.[cite-3]
- Outlines ByteDance's data handling policies for the IDE, specifying how local code indexing and user telemetry data are managed securely.[cite-4]
- South China Morning Post report confirming ByteDance as the developer of Trae and noting its strategy of offering premium AI models for free during its initial launch.[cite-5]
- 1Trae - The Adaptive AI IDE
Accessed Mar 1, 2026
"Official website confirming Trae is an adaptive AI-native IDE that integrates advanced LLMs directly into the coding, debugging, and refactoring workflow."
- 2Trae Documentation: Builder Mode
Accessed Mar 1, 2026
"Official documentation detailing the 'Builder' intelligent agent, which autonomously plans multi-step implementations and executes terminal commands."
- 3Trae Documentation: Workspace Context
Accessed Mar 1, 2026
"Explains how Trae indexes the local codebase to provide deep project understanding, enabling context-aware AI suggestions and file navigation."
- 4Trae Privacy Policy
Accessed Mar 1, 2026
"Outlines ByteDance's data handling policies for the IDE, specifying how local code indexing and user telemetry data are managed securely."
- 5ByteDance launches free AI coding assistant Trae globally
Accessed Mar 1, 2026
"South China Morning Post report confirming ByteDance as the developer of Trae and noting its strategy of offering premium AI models for free during its initial launch."
- 6ByteDance rolls out AI IDE Trae globally, competing with Cursor
Accessed Mar 1, 2026
"Tech publication coverage highlighting Trae's positioning in the developer tools market as a direct, AI-native competitor to Cursor."
- 7Trae AI Community Feedback Repository
Accessed Mar 1, 2026
"Community issue tracker on GitHub where developers report bugs, request features, and discuss Trae's performance on macOS."
- 8Awesome AI Coding Assistants
Accessed Mar 1, 2026
"Community-maintained GitHub repository listing Trae among the top emerging AI-native IDEs alongside Cursor and Windsurf."
- 9Homebrew Cask for Trae
Accessed Mar 1, 2026
"Official Homebrew cask definition confirming Trae's availability, versioning, and automated installation path for macOS users."
- 10SWE-bench Leaderboard
Accessed Mar 1, 2026
"Software engineering benchmark evaluating the underlying models used by Trae's Builder (like Claude 3.5 Sonnet) on their ability to resolve real-world GitHub issues autonomously."
- 11Aider LLM Coding Leaderboard
Accessed Mar 1, 2026
"Provides benchmark comparisons of the LLMs powering Trae, demonstrating the code editing capabilities and refactoring accuracy of the integrated models."