CodeArts Channel: One-stop AI programming assistant, AI smart body launched by the clouds in China

CodeArts” Code "IS AN INTELLIGENT CODING PRODUCT MADE BY CHINA FOR THE CLOUD, WHICH INTEGRATES IN DEPTH IDE, AUTONOMOUSLY DEVELOPED MODELS AND LARGE CODE MODEL CAPABILITIES, SUPPORTS CORE FUNCTIONS SUCH AS PROJECT-LEVEL CODE GENERATION, CODE RENEWAL, R & D KNOWLEDGE QUESTION AND ANSWER, AND MODULE TEST CASE GENERATION, WHICH CAN EFFICIENTLY ENHANCE THE DEVELOPMENT EFFICIENCY OF DEVELOPERS AND PROVIDE HIGH-QUALITY INTELLIGENT CODING EXPERIENCE." CODE "TO INTEGRATE THE THREE KEY CAPABILITIES REQUIRED IN THE PROGRAMMING ENVIRONMENT, THE SELF-DEVELOPMENT MODEL, THE CODE LIBRARY TO RETRIEVE, THE USER INPUT NEEDS, AND AI TO WRITE THE CODE DIRECTLY。

CodeArts channel function

1. Project-level code generation: based on cross-document code context, seven mainstream language development (Java/Python/JavaScript/TypeScript/Go/C/C++) are supported to automatically generate the code. Based on a line-level, function-level comment, understand the developer ' s intentions, efficiently complete the code clip, and significantly improve coding efficiency and the programming process。
2. Code continuation: Supports coding intent based on the context of the code in the editor and triggers code generation recommendations. Supports automatically triggers continuation and shortcuts to trigger code continuation。
3. Questions and answers on R & D: To support end-to-end development of smart questions and answers on project context, coding, testing, publishing, etc., to support multi-cycle dialogues and to improve team knowledge acquisition and retrieval efficiency. Supporting access to the private knowledge base of organizations and individuals of technical files and code types to provide more compatible business areas
4. Questions and answers to improve the responsiveness of the enterprise。
5. Module test case generation: Supports testing frameworks such as Junit/JMockit/pytest/unit/GTest, covering individual method and class-level unit testing case generation, protection for code quality and risk reduction for defects。
6. Code library index: Accurately understand the code library, support the deciphering of index codes and significantly improve the understanding of the context of the code and the efficiency of code retrieval。
7. Code interpretation: Rapid in-depth explanation of the code from the four dimensions of functionality, purpose, use of scenes and major logic, to help developers quickly understand code content, to improve speed and efficiency in reading codes, and to accelerate knowledge transfer and teamwork。
8. Code Note: Quick analysis of code structure and logic, automatic generation of code notes, enhanced code readability and lower cost of understanding. Reduced manual comment time to allow developers to focus more on core code logic, while facilitating follow-up maintenance and problem mapping and improving overall R & D efficiency。
9. Code debugging: Based on stacking error information in the console, analysis of the cause of the error, rapid location problems, and saving debugging time. Provide targeted rehabilitation programmes to guide development staff to address problems efficiently, reduce secondary risks arising from wrongful repairs and ensure the steady advancement of projects。
10. Code Check: Code Check to support mainstream development language, help to detect coding deficiencies and make recommendations for repair, enhance code quality and safety。
11. The core function of the Skills: Skills module is to break AI's capacity boundaries to only achieve “thinking analysis” and “dialogue” interaction and empower it to “task” proactively. Through the support of the module, AI can be based on interactive commands or business needs, triggering specific operations and producing practical operational effects to achieve a closed loop from language information to physical action。

Official website link:https://www.huaweicloud.com/product/codearts/download.html