At the Wenxin Large Model Technology Exchange Conference in Chengdu, Baidu Smart Cloud introduced "Comate," an innovative code assistant powered by advanced large model technology. Currently open for invitation-based testing, Comate aims to revolutionize coding practices.
Utilizing the Wenxin large model's advanced understanding and reasoning, Comate enhances developer productivity through rapid code completion, natural language code suggestions, and automatic error detection. Future plans include integration within popular development environments via plugins.
In its initial phase, Comate assists with code writing by generating code from natural language input, transforming both human-computer interaction and programming methodologies. Baidu representatives reveal that the next phase will focus on generating natural language code for specific fields, while the final phase aims for comprehensive natural language development across all areas of programming.
Baidu Group's Vice President, Hou Zhenyu, emphasizes that Comate is a cutting-edge coding tool based on large model technology. Internal testing reveals that nearly 50% of Comate's code suggestions are adopted by developers, proving its effectiveness in various product developments within the company.
Comate currently supports over 30 programming languages, excelling in C/C++, Python, Java, Go, and PHP. Its compatibility with popular integrated development environments (IDEs) allows seamless integration via plugins across different platforms.
Powered by the PaddlePaddle deep learning framework and the Wenxin large model, Comate boasts an impressive response time of around 300 ms per inference request, significantly improving the user experience. Upcoming features include code comprehension, comment generation, unit test creation, defect identification, auto-corrections, code refactoring, and debugging. Additionally, it will facilitate generating natural language instructions and technical Q&A, empowering developers to leverage natural language for product development. This integration aims to lower barriers in software development while enhancing code quality and efficiency.
Keywords: Comate, code assistant, Baidu Smart Cloud, natural language code generation, programming languages, developer productivity, IDE integration, PaddlePaddle, artificial intelligence in coding.