Meet Trae: ByteDance’s AI-Powered Coding Revolution with Doubao 1.5 Pro and Full-Blooded DeepSeek Model

ByteDance Introduces a unique AI-powered coding tool, Trae, designed to help development teams build more efficient programs.

Mar 3, 2025
Meet Trae: ByteDance’s AI-Powered Coding Revolution with Doubao 1.5 Pro and Full-Blooded DeepSeek Model
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March 3, 2025, marks the day Trae, China's first AI-native integrated development environment (AI IDE) domestic version was officially introduced into the market. The technology developed by ByteDance's technology team aims to provide developers with a more efficient and intelligent programming experience. The Trae domestic version comes with Doubao-1.5-pro and supports switching to the full-fledged DeepSeek R1 and V3 models. This significantly improves programming speed, helping developers tackle complex technical challenges.

Trae is loaded with a dynamic collaboration as its core, creating a new development experience of human-computer collaboration and mutual enhancement. It's very much a development tool, but it takes things further with 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 this collaboration with humans and humans, Trae ensures that every code snippet produces the optimal result of human-AI co-creation, giving developers a highly efficient and high-quality development experience.

Unprecedented Development Experience 

Trae is unique, offering developers of all levels an innovative development experience. Thanks to 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 is beneficial to developers, significantly shortening project preparation cycles and laying a solid foundation for efficient development.

With regard to code understanding, Trae has achieved a qualitative breakthrough. Armed with its extreme understanding of the development project context, Trae 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.

In addition, Trae's real-time code continuation technology can intelligently complete code based on information obtained from the total context of a development project, also improving code efficiency. It's also easy for developers to 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.