“AI+ code” is not only a technical tool, but also an important driving force for business progress
With the rapid development of AI code technology, global business activities are being transformed at an unprecedented speed. Since entering 2024, working methods centered on “AI+ code” have become the mainstream model in the daily operations of many enterprises and organizations. This transformation is not only reflected in technological innovation, but also marks profound changes in work processes, teamwork, and the entire industry ecosystem. Today, “AI+ code” is not only a technical means, but also an important driving force for commercial progress. It enables all industries to respond more quickly to market needs and achieve continuous optimization and iterative upgrading of business.
On October 24, Jiazi Lightyear released the “2024 AI Code Platform and Product Development Brief”. The report explores current changes in the AI+ code field, shows recent technological breakthroughs, and examines future industry trends. DevPilot, an AI coding tool independently developed by Zhongan Insurance, was included as a pioneer in AI+ code.
The report points out that the “AI+ code” working method has become mainstream, and developers can use AI code technology to solve various problems in the development cycle, thereby improving product quality and user experience.
With the rapid development of artificial intelligence technology, the field of AI code platforms is ushering in unprecedented opportunities for innovation and transformation. The field of code and development has the unique advantages of high-quality data, rich application scenarios and diverse user groups, providing a broad development space for innovation in generative AI and other technologies. As the first Internet insurance company in China, Zhongan Insurance responds positively to industry trends and is committed to developing AI code tools to improve the development efficiency and quality of enterprises.
The self-developed DevPilot combines private deployment or a general three-party code model to provide developers with a lightweight and efficient open source solution for full-stack code assistants. This solution can not only help developers automatically generate code snippets or modules, but also significantly improve development efficiency through functions such as intelligent code completion and restructuring suggestions. With rich insurance knowledge and practical experience, Zhongan Insurance deeply integrates AI technology with the insurance business, and continues to unleash the potential of generative AI through the power of AI centralization, laying a solid foundation for the successful development of DevPilot.
According to the white paper, DevPilot has a leading position in the AI coding tools industry, mainly due to its unique product design and superior technical strength. First, DevPilot has engineering-level contextual capabilities, can thoroughly understand developers' needs in the coding process, and provide accurate code completion and refactoring suggestions. Second, DevPilot supports flexible model switching. Developers or enterprises can select the appropriate large model according to actual needs, so as to follow up the advanced model faster and meet the needs of the enterprise's big model. In addition, DevPilot also provides rich functions, such as intelligent search, code interpretation, unit testing, code review, etc., to fully meet the diverse needs of enterprise-level development.
In actual application, DevPilot has achieved remarkable results. It can help R&D teams significantly improve overall R&D speed, optimize team collaboration, reduce communication costs, and improve code quality and product stability. At the same time, DevPilot can also generate the best coding scheme based on enterprise warehouse code, improve coding efficiency, and save a lot of manpower and time costs for the enterprise.
Jiang Jiyun, CTO of Zhongan Insurance, said, “We have deep insight into many pain points in the current software development process, such as many repetitive tasks, uneven code quality, and high costs of teamwork and communication. To solve these problems, we are actively developing the DevPilot AI Code Assistant, which aims to help developers code smarter, faster, and with fewer errors. In the future, Zhongan Insurance will continue to explore the field of AI coding in depth. We hope to work with industry partners to promote the development of AI code platforms and make greater contributions to the development of society.”
The selection for the JiaZi Lightyear white paper is not only an affirmation of DevPilot's technical strength and market performance, but also a recognition of Zhongan Insurance's ability to innovate in the field of AI coding tools. With the continuous advancement of AI technology and the continuous expansion of application scenarios, Zhongan Insurance will continue to adhere to innovative ideas, deepen the integration of AI technology and insurance business, and bring more surprises and breakthroughs to the industry. At the same time, we also expect more enterprises to join the development and application of AI coding tools, jointly promote the restructuring of development models in the intelligent era, unleash AI digital productivity, and contribute to the prosperity and development of society.