TRAE is an AI-powered code editor designed to integrate seamlessly into your workflow, collaborating with you to maximize performance and efficiency. It offers features like smart autocompletion, AI-driven code generation, and the ability to delegate tasks to its SOLO mode for autonomous development. TRAE supports integration with various external tools and enables agents to use them, providing a more accurate and context-aware development experience. With its pleasant interface and responsive features, TRAE is popular among developers worldwide for boosting productivity and making coding more intuitive.
Freemium
$10
How to use TRAE?
TRAE can be used as a daily code editor where it assists in writing, debugging, and optimizing code through AI suggestions. Developers can switch between IDE mode for greater control and SOLO mode to let AI take the lead in completing tasks. TRAE understands the development context through code repositories and external information, allowing it to execute tasks precisely as envisioned. It's particularly useful for quickly generating code snippets, understanding complex code, and accelerating the development process for both individual developers and teams.
TRAE 's Core Features
AI Integrated Development: TRAE integrates AI into the entire development lifecycle, from idea to launch, understanding your vision and executing with precision.
SOLO Mode: Delegate tasks to SOLO, your context engineer, which autonomously completes development tasks with the right information and tools.
Dual Dev Modes: Seamlessly switch between IDE mode for traditional coding and SOLO mode for AI-driven development, offering flexibility in how you work.
Open Agent Ecosystem: Create and share custom agents in the marketplace, enabling better problem-solving through specialized AI tools.
Smart Autocompletion: Predicts your next edit with a single Tab, understanding your intent deeper and anticipating your next move for faster coding.
External Tool Integration: Supports integration with various external tools through the Model Context Protocol (MCP), enhancing the capabilities of AI agents.
Context-Aware Development: Deeply understands your development context through code repositories and external information, ensuring accuracy in task execution.
TRAE 's Use Cases
Individual Developers: TRAE helps solo developers by accelerating coding tasks, generating efficient code snippets, and providing smart autocompletion, making development faster and more intuitive.
Development Teams: Teams can leverage TRAE's SOLO mode to delegate tasks, ensuring projects move forward efficiently without manual intervention for every small task.
Educators and Students: TRAE serves as an educational tool, helping students learn coding with AI assistance and educators to demonstrate coding concepts more effectively.
Startups: Startups can use TRAE to rapidly prototype and develop applications, reducing the time from idea to launch with AI-driven development.
Freelancers: Freelancers benefit from TRAE's efficiency tools, allowing them to take on more projects by reducing the time spent on coding and debugging.
TRAE 's Pricing
Free
$0
10 Fast requests and 50 Slow requests of Premium models / month, 1000 Requests of Advanced models / month, 5000 Autocomplete / month.
Pro
$10
600 Fast requests and unlimited Slow requests of Premium models / month, Unlimited Requests of Advanced models, Unlimited Autocomplete.
