Baidu launches AI programming assistant 'Comate': covering more than 30 programming languages

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On June 6, at the Wenxin Large Model Technology Exchange Conference (Chengdu), Baidu Intelligent Cloud launched the “Comate” code assistant based on large models and officially opened invitations for testing.

According to reports, with the help of the understanding and reasoning capabilities of the Wenxin large model, “Comate” can quickly complete codes, recommend codes in natural language, automatically find code errors, and comprehensively improve developer R&D efficiency. In the future, developers can use plug-ins and other methods to apply the "Comate" code assistance tool in mainstream development software.

▲ Comate multi-line code recommendation

Baidu Intelligent Cloud stated that auxiliary code writing is the main product function in the first phase, and the current "Comate" code assistant can already partially realize code writing through natural language, completely changing the human-computer interaction method and program development model. . Baidu insiders said that in the second phase, "Comate" will realize natural language code generation in specific fields and scenarios, and in the third phase, it will realize natural language development in all fields.

Hou Zhenyu, Vice President of Baidu Group, said that the "Comate" code assistant is a new generation of coding assistance tools based on large models and has been tested extensively within Baidu. Test results show that among the codes written with the help of “Comate”, nearly 50% of the suggested codes have been adopted by developers, and are now widely used within Baidu in the development of various products.

It is said that "Comate" currently covers more than 30 programming languages, especially in C/C, Python, Java, Go, PHP, Java and other mainstream languages. In addition, “Comate” also supports the mainstream IDEs most commonly used by programmers. Developers can use “Comate” in different software through plug-ins and other forms. At the same time, combining the Feipiao deep learning framework and Wenxin large model, "Comate" can ensure that the inference time of a single request is about 300ms, ensuring the user experience with extremely fast response speed.

In the future, Comate will also launch capabilities such as code understanding and description, comment generation, unit test generation, defect identification and automatic repair, code refactoring optimization, automatic instrumentation and debug through selected code blocks, as well as through Chat. Interactive natural language generation code and instructions, technical knowledge Q&A and other capabilities, as well as the ability to directly generate applications or products using natural language in some scenarios, lower the threshold for software development and improve the quality and efficiency of R&D code.

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