TRAE Key Insights
What is TRAE?

TRAE is a free AI-powered integrated development environment built to function as your personal AI engineer. It combines advanced large language models like Claude 3.5 Sonnet and GPT-4o directly into the coding workflow, enabling developers to write, debug, and ship code faster. The platform offers intelligent autocompletion, context-aware suggestions across entire workspaces, and agentic coding modes that can independently execute multi-step tasks.
TRAE topped the SWE-bench Verified leaderboard in July 2025, outperforming other AI coding tools on 500 real GitHub issues selected by experienced Python developers. For teams and solo developers seeking business automation through AI-assisted development, TRAE delivers enterprise-grade AI capabilities at zero cost for the free tier.
Builder Mode allows TRAE to operate as an autonomous coding agent that understands project context and executes multi-file changes independently. This mode reduces manual intervention by letting the AI plan, implement, and iterate on code based on natural language instructions.
Developers can create specialised agents tailored for specific workflows such as documentation writing, code review, or security analysis. Each agent can have unique system prompts, tool access, and behavioural parameters, enabling focused assistance without repeated explanations.
SOLO mode represents TRAE's most advanced capability, offering complete project development from concept to deployment with automatic task breakdown and real-time documentation. Voice input support allows natural interaction, though access remains limited to invitation-only beta testing.
TRAE provides free access to premium AI models including Claude 3.5 Sonnet and GPT-4o without additional cost. The platform's context awareness examines both small code segments and entire workspaces for accurate suggestions.
TRAE Pricing Plans
| Plan | Cost | Key Features |
|---|---|---|
| Free | $0/month | 10 Fast requests + 50 Slow requests (Premium models); 1000 requests (Advanced models) |
| Pro Monthly | $10/month ($3 first month) | Increased request limits; priority access to new features |
| Pro Yearly | $7.5/month | Unlimited Requests of Advanced models, Unlimited Autocomplete |
Getting Started with TRAE
- Download the IDE from trae.ai/download for your operating system (macOS or Windows).
- Create an account using email or social login to sync preferences across devices.

- Open a project folder or create a new workspace to begin coding with AI assistance.
- Use Builder Mode by typing natural language prompts in the chat panel to generate or modify code.

- Create custom agents for specialised tasks by configuring system prompts and tool access in settings.

SWE-Bench Performance
TRAE claimed the top position on the SWE-bench Verified leaderboard as of July 2025, making it the only AI-powered IDE to win this benchmark. The test evaluates AI tools against 500 real GitHub issues curated by senior Python developers, measuring practical problem-solving ability rather than synthetic tasks.
TRAE achieved a 75.2% resolution rate when paired with Claude 4, up from its earlier 70.6% score with Claude 3.7. The Trae Agent codebase has been open-sourced, allowing the developer community to inspect and build upon the approach that delivered this benchmark-leading performance.
MCP Server Integration
Model Context Protocol servers extend TRAE's capabilities beyond standard IDE functions. Developers can connect external tools, databases, and services directly into the AI workflow through MCP, enabling custom integrations without leaving the editor.
TRAE includes a built-in MCP marketplace where servers can be installed with a single click, complete with key and URL configuration options and in-editor README previews. Each custom agent can be assigned specific MCP servers, giving developers granular control over which external tools an agent can access during task execution.
Pros and Cons
- Free access to premium AI models
- Agentic coding with Builder Mode
- Custom agent creation supported
- Won SWE-bench Verified benchmark
- No Linux support available
- Limited plugin/extension ecosystem
- No offline coding functionality
Team Collaboration Features
TRAE supports IDE-centric collaboration workflows with implied PR review capabilities based on case studies. The platform focuses on individual and small team productivity rather than enterprise-scale collaboration tools. For larger organisations, team and enterprise pricing details remain region-specific and may require direct enquiry.
Pro subscribers gain access to real-time collaborative editing, shared workspaces, and fine-grained permission controls for managing team access. The Agent system enables multi-agent collaboration where developers can orchestrate specialised agents into a unified problem-solving team using MCP integration.
Best TRAE Alternatives
| AI Code Editor / IDE | AI Model Access | Agentic Capabilities |
|---|---|---|
| Cursor | GPT-4o, Claude 3.5, o1 (chainable) | Agent mode with multi-file refactoring and diff previews |
| GitHub Copilot | GPT, Claude, Gemini | Agent mode with test-driven automation and plan-act loops |
| Replit AI | Cloud-based LLMs | Workflows automation with real-time multiplayer editing |
| Cline | Pluggable (Claude, GPT-4, Gemini) | Plan/Act toggle with open-source transparency |
