Auxiliary method and device for code development, storage medium and terminal
An auxiliary device and code development technology, applied in the field of machine learning, can solve problems such as low quality and efficiency of code writing and code review, comments that cannot be added intelligently, and historical review results cannot be provided, so as to facilitate improvement and Optimize, avoid repeated reviews, and reduce the effect of error rate
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[0026] Those skilled in the art understand that, as stated in the background technology, only when a programmer selects a specific API in existing code writing tools, can the relevant description and examples of the selected specific API be displayed when the program is written , and cannot intelligently recommend available APIs based on the needs of programmers. When a programmer finishes writing a piece of code, the current code writing tools cannot intelligently predict the programmer's intention to write code later and recommend a code section for the programmer relatively accurately. In addition, the existing code review tools cannot provide relevant historical review results as a reference, that is, they cannot intelligently display the comments that the code reviewer has previously added or the modification opinions on the same piece of code, nor can they directly provide intelligent prompts What optimization options do code reviewers have, such as more appropriate APIs...
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