according to the official accountHuawei CloudAccording to the official account, Huawei Cloud CodeArts Snap has officially launched public beta.Public Beta.
This is an intelligent programming assistant developed based on Huawei Cloud R&DBig 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 are charged to users.After commercial use, the service fees will be clearly stated on the user's ordering page. Users can choose specific service types and pay according to the listed prices.
It is reported that the public beta of Huawei Cloud CodeArts Snap provides plug-ins supporting 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 explanation, 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.
Using natural language programming, the coding efficiency is greatly improved. The code accuracy on the industry-common HE dataset reaches the industry-leading level for models of the same scale.
R&D Knowledge QA
Developers can ask any R&D knowledge questions 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, and the number of lines of code that need to be manually modified is small, with high line coverage.
Code Explanation
Quickly analyze the code and automatically generate explanations, which improves the speed and efficiency of reading the code and demonstrates good correctness and conciseness.