On March 3, 2025, Trae, China's first AI-native integrated development environment (AI IDE) domestic version, was officially launched. Developed by ByteDance's technology team, it aims to provide developers with a more efficient and intelligent programming experience. Trae domestic version is equipped with Doubao-1.5-pro and supports switching to the full-fledged DeepSeek R1 and V3 models, significantly improving programming speed and helping developers tackle complex technical challenges.
Trae, with dynamic collaboration as its core, creates a new development experience of human-computer collaboration and mutual enhancement. It's not just a development tool, but also a round-the-clock development "partner," adapting to the entire development process, including code completion, code understanding, bug fixing, and code generation based on natural language. Through the tacit collaboration between humans and AI, Trae ensures that every code snippet is the optimal result of human-AI co-creation, providing developers with a highly efficient and high-quality development experience.
Trae offers developers an unprecedented development experience. Through its innovative Builder mode, both beginners and experienced developers can easily generate applications quickly using natural language descriptions. Developers simply need to describe their needs in simple language, and Trae will quickly build the project framework and continuously optimize and modify it, ultimately producing usable code. This "thought-to-code" capability significantly shortens project preparation cycles and lays a solid foundation for efficient development.
In terms of code understanding, Trae has achieved a qualitative breakthrough. With its extreme understanding of the development project context, it deeply analyzes the code repository, obtains the environment context in the IDE in real-time, accurately perceives developer needs, and provides suitable and accurate solutions for the development process. Furthermore, Trae's real-time code continuation technology can intelligently complete code based on the overall context of the development project, improving coding efficiency. Developers can also easily apply the AI-generated code to multiple modules with one click and flexibly adjust instructions according to actual needs, previewing the front-end effects in real-time.
Experience Address: trae.com.cn