
Trae is an AI - native integrated development environment (AI IDE) launched by ByteDance in 2025. It is a "smart collaborative AI IDE" that deeply integrates AI capabilities, aiming to provide developers with a more efficient and intelligent development tool. The following is a detailed introduction:
Basic Information
Provider: SPRING (SG) PTE.LTD., a subsidiary of ByteDance.
Release Time: The international version was released on January 19, 2025, and the domestic version was released on March 3, 2025.
Platform Features
Powerful Code - Generation Capabilities
Natural Language to CodeTrae: Users can describe requirements in Chinese, such as "Read a CSV and calculate the average value of columns", and Trae can immediately generate complete Python pandas code, automatically handling data cleaning and missing values.
Builder ModeTrae: When users input requirements like "A user management system based on Flask", the system will automatically disassemble the task into components such as registration and login modules, database configuration, etc., generate a complete project structure and a dependency list.
Efficient Debugging and Problem - Solving Functions
Chat ModeTrae: In the editing area, users can input the "#" symbol to associate the context of the current code file. When encountering a problem such as a "404 status code returned by an API request", the AI can check the relevant routing configuration and parameter format and locate the specific problem line.
Deep Context - Aware Code CompletionTrae: Trae's intelligent code - completion system can perceive the entire project context. When writing a new function call, the system automatically retrieves the existing interface definitions in the project and prompts the parameter types and return - value structures.
Multimodal Interaction SupportTrae
Image - to - Code: Trae supports directly uploading UI screenshots to generate front - end code. It can parse the layout structure, color system, and interactive elements, and output responsive HTML/CSS code.
Voice and Other Inputs: It also supports voice input. For example, back - end developers can describe "Implement a JWT verification middleware" in voice to obtain a complete module.
Team - Collaboration - Friendly Features
Source Code Management: In Trae, users can use the source - code management function to manage code changes in the project.
Conflict ResolutionTrae: When multiple people collaborate on development, Trae can detect code conflicts in real - time, automatically merge Git branches or mark different paragraphs.
Customization and Expansion Capabilities
Rule EngineTrae: Users can configure rules such as "Mandatory TS type checking" or "Disable eval()" in.trae/rules. The AI - generated code will automatically comply with these rules.
Technical Advantages
Deep Adaptation to Chinese Technical TermsTrae: Trae supports the parsing of Chinese technical terms from the bottom up. Developers can directly generate corresponding code with Chinese instructions, without the need for Chinese - English term conversion.
Full - Link Context AwarenessTrae: Trae can identify full - link information such as PRD documents, terminal logs, and code repositories. When fixing a NullPointerException, it can automatically locate the null - object call chain.
Integration of Multiple Models: The international version of Trae has GPT - 4o and Claude - 3.5 - Sonnet models built - in for free use, and the domestic version is equipped with doubao - 1.5 - pro, supporting the switching of full - blooded DeepSeek - R1 and V3 models.
Application Scenarios
Web Application Development: Whether it is simple web page production or complex web application development, Trae can help developers quickly build project frameworks.
Mobile Application Development: Trae can assist developers in handling various programming tasks in mobile application development, such as interface design, function implementation, and code debugging.
Software Development Projects: For various software development projects, Trae can play a role in all stages of the project, from requirement analysis to code implementation, and then to testing and optimization.
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