Huawei Cloud CodeArts Snap AI programming assistant is about to be put into public beta-AI-php.cn

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Huawei Cloud CodeArts Snap AI programming assistant is about to be put into public beta

王林

Dec 28, 2023 pm 12:56 PM

IT House reported on December 27 that CodeArts Snap, a large-scale model developed by Huawei Cloud, announced that it will start public testing tomorrow (December 28). This model is based on the large-scale model developed by Pangu and provides three core capabilities: intelligent generation, intelligent question and answer, and intelligent collaboration. Through intelligent demand management analysis, new code development, existing code optimization, code quality care, and convenient application deployment, it is Scenarios to reshape the software development process.

AI 编程助手新选择，华为云研发大模型 CodeArts Snap 明日公测

CodeArts Snap is an intelligent development assistant that uses advanced large model technology and claims to improve developers' R&D efficiency by more than 20%.

AI 编程助手新选择，华为云研发大模型 CodeArts Snap 明日公测

CodeArts Snap has eight main functions, including unit testing, code generation, code explanation, code debugging, R&D trivia, code annotation, code inspection and code translation.

Unit test case generation: Automatically create unit test cases to improve test coverage and ensure that every function and scenario is tested. Say goodbye to complicated manual writing and realize automatic creation of unit test cases, effectively improving test coverage.
Code generation: Generate complete code logic based on natural language to significantly improve coding efficiency.
Code debugging: When the user reports an error when running the code, he can repair the code with one click according to the error log prompted; he can also directly inspect the code to discover potential compilation problems.
Code explanation: quickly analyze the code and automatically generate documents to improve the speed and efficiency of reading the code
R&D knowledge Q&A: Ask any R&D-related knowledge questions in the dialog box to improve the efficiency of solving R&D problems
Code comments: Quickly analyze the code, automatically generate meaningful complete comments, increase code readability, and ensure consistency of comment styles in the same code base. Improve the efficiency of solving R&D problems
Code inspection: quickly analyze the code, provide detailed information on error occurrences and repair suggestions, and shorten error location time
Code Translation: Quickly analyze the code and automatically complete migration and translation to improve developer work efficiency.

According to IT House, Huawei Cloud’s official website shows that the CodeArts Snap intelligent programming plug-in has been launched in the VSCode and JetBrains plug-in markets, supports IDEs such as PyCharm, IntelliJ, and VSCode, and can intelligently generate multi-scenario code in Python and Java. .

AI 编程助手新选择，华为云研发大模型 CodeArts Snap 明日公测

Automatically generating function-level code is a very convenient feature. It can help developers quickly generate function-level code, thereby improving development efficiency.

"Words Play Flowers" is a popular word puzzle game with new levels updated every day. One of the levels is called Nostalgia Cleaning, in which players need to find 12 items in the picture that do not match the era. Today, I have brought you a guide for clearing the Nostalgia Cleaning Level in "Word Play Flowers", so that friends who haven't passed the level yet can take a look at the specific operation methods.

In order to improve the readability and maintainability of the code, we should follow some good coding practices when writing code. These specifications include requirements for variable naming, code indentation, comments, etc. By following these specifications, we can make the code easier to understand and modify, and improve the quality of the code. Therefore, this article will introduce some commonly used coding conventions and provide corresponding examples.

The process of reading and comparing candidate code generation results can be completed quickly.

Viewing simultaneously is an effective learning method that can help us understand the problem more comprehensively. By looking at different perspectives and resources simultaneously, we gain more information and, therefore, draw more accurate conclusions. This approach can also help us discover connections and differences between different perspectives and broaden the way we think.

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