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Huawei Cloud begins CodeArts Snap public beta for free

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Huawei Cloud CodeArts public beta

Huawei Cloud has officially started the CodeArts Snap public beta, which is based on the large R&D model. Developers and users can participate in this testing phase free of cost and explore new features and capabilities ahead of the official listing.

CodeArts Snap is a smart programming assistant and is uprooted on Huawei’s large R&D model. It aims to offer productive and efficient experiences to developers. On the other hand, it optimizes the overall functionalities of the R&D personnel.

In the latest edition, Huawei Cloud has begun the public beta of the CodeArts Snap. Users and developers can explore four new features including simplified code generation. In terms of charges, Huawei will share the service fees after commercial usage allowing users to pick the service type at their convenience.

CodeArts Snap Public Beta – Four New Features

Huawei Cloud is releasing some prominent aspects with the CodeArts public beta. The list covers R&D knowledge and queries, Unit test case generation, code generation, and code explanation. These features provide plug-ins that can support a variety of mainstream IDEs based on core scenarios.

1. R&D Knowledge and Queries

Developers can explore answers to R&D-related questions. Besides, one can share their questions, submit answers, and opinions to improve the efficiency of R&D problem-solving capabilities.

2. Unit Test Case Generation

The latest beta upgrade enables you to auto-generate unit test cases to enrich test coverage, making sure that every function is working effectively. It only requires a few lines of code and manual modifications, to offer precise and high-quality test coverage.

Huawei Cloud has officially started the CodeArts Snap public beta, which is based on the large R&D model. Developers and users can participate in this testing phase free of cost and explore new features and capabilities ahead of the official listing.

3. Code Generation

This feature requires natural language programming to boost the coding. At the same time, the code accuracy reaches the industry-leading level of parameter on the common HE data set.

4. Code Explanation

It recognizes the code quickly and auto-generates suggestions to enhance the code reading speed and efficiency. Also, the accuracy and simplicity remain at an appropriate level.

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