Intelligent programming assistant! Huawei Cloud CodeArts Snap free public beta: based on Pangu R&D large model

according to"HUAWEI CLOUDAccording to the official account, Huawei Cloud CodeArts Snap has officially launchedPublic Beta.

This is a product developed based on Huawei CloudLarge ModelIntelligent programming assistant,It aims to provide developers with an efficient and intelligent programming experience and enhance the individual combat capabilities of R&D personnel.

The service is free during the public beta period and no fees will be charged to users.After commercial use, the service fees will be clearly stated on the user's ordering page. Users can choose the specific service type and pay according to the listed price.

Intelligent programming assistant! Huawei Cloud CodeArts Snap free public beta: based on Pangu R&D large model

It is reported that the public beta of Huawei Cloud CodeArts Snap provides plug-ins that support multiple mainstream IDEs based on the two core scenarios of intelligent generation and intelligent question and answer.

It covers eight major R&D scenarios, including code generation, R&D knowledge Q&A, unit test case generation, code interpretation, code annotation, code translation, code debugging, and code checking.

This public beta releases four major new features:

Code Generation

Using natural language programming, the coding efficiency is greatly improved. The code accuracy reaches the industry-leading level for the same scale parameter model on the industry-common HE dataset.

R&D Knowledge Q&A

Developers can ask any questions about R&D knowledge and get answers, which significantly improves the efficiency of solving R&D problems.

Unit test case generation

Automatically create unit test cases to improve test coverage and ensure that every function and scenario is tested. The test case code is concise, the number of lines of code that need to be manually modified is small, and the line coverage is high.

Code Explanation

Quickly analyze the code and automatically generate explanations, which improves the speed and efficiency of reading the code, and the correctness and conciseness of the code explanation are good.

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