Ant Group's self-developed intelligent R&D platform, CodeFuse, has announced the addition of the "Graph Code" feature. This feature allows developers to generate code with just one click by uploading product design diagrams, greatly improving the efficiency of front-end page development. Currently, this feature is in the intensive testing phase. With the deep application of AI technology, Ant Group is actively promoting AI programming to enhance R&D efficiency. Currently, more than half of the engineers who use CodeFuse for daily development work, with 10% of the code being completely generated by AI. According to Gartner's prediction of the top ten strategic technology trends for 2024, by 2028, up to 75% of enterprise software engineers will use AI programming assistants in their daily work. Ant Group's CodeFuse is an active explorer in this trend. The platform covers the entire R&D process, including demand analysis, programming development, testing and building, release and operation, and data insights. In this update, the "Graph Code" feature is specifically launched to serve front-end engineers, greatly reducing their workload in implementing product design diagrams. It is reported that within Ant Group, more than half of the programmers are already using CodeFuse for daily development. The overall adoption rate of the code generated by this platform is as high as 30%, especially in the generation of unit tests, where the adoption rate reaches 50%. The newly launched "Graph Code" feature is developed based on the multi-modal technology capability of Ant Group's Bailing model. It can generate code with just one click based on design diagrams, effectively reducing the workload of development teams when developing web pages, mini-programs, and apps. For example, for a medium-sized web page that originally required one person to spend about an hour to complete 200 lines of code, now with one-click generation, engineers only need to perform simple checks and adjustments, greatly shortening the development time. The head of Ant Group's CodeFuse team stated that the popularization of AI not only alleviates the work pressure of developers, allowing them to invest more energy in more creative work, but more importantly, it lowers the threshold for programming and injects new vitality into the software development industry's innovation and progress. CodeFuse is committed to exploring next-generation AI R&D productivity tools and will continue to launch new features to help enterprises improve the efficiency of the entire R&D process. The head also emphasized that although the paradigm shift in AI development is happening, it does not mean that the role of "humans" in the R&D scene will disappear. On the contrary, the collaboration between AI and humans will become more critical, especially in operation scenarios involving system reliability, where the intervention of human experts is still needed to ensure the healthy operation of the system. Therefore, from assisting programming to becoming a true R&D partner, AI still has a long way to go in achieving intelligence and automation throughout the entire R&D lifecycle.