Core Insights - The central financial work conference emphasizes the importance of digital finance and the digital transformation of financial institutions, marking a shift towards accelerated development in this area [1] - Technological research and development is identified as a key driver for the advancement of digital financial applications, with a focus on utilizing large model technology to enhance software engineering [1] Group 1: Digital Transformation Initiatives - Minsheng Bank is aligning with the new stage of artificial intelligence development to improve the quality and efficiency of technological research and development [1] - The bank is deepening the construction of a cloud-native research and development system to foster an innovative environment for intelligent development in software engineering [1] Group 2: AI Integration in Research and Development - Minsheng Bank has introduced the "Smart Code" journey guidance method to enhance the safety, efficiency, and controllability of financial research and development [2] - The bank has established an AI4SE service support system aimed at scaling AI applications throughout the entire research and development process, enhancing capabilities in technical knowledge operation, quality control, and efficient research support [2] Group 3: Achievements in AI Application - As of now, Minsheng Bank's large model applications in software engineering have shown significant results, with over 1,600 self-research personnel covered and a code generation adoption rate of 29% [3] - AI-generated code accounts for approximately 15% of total output, and intelligent analysis tools have improved efficiency in review and diagnostic analysis from hours to minutes [3] - AI services now represent 28.9% of total service volume, significantly enhancing operational efficiency in technology [3]

为规范Agent的能力建设，加速其在软件工程领域的落地，推动智能化软件工程（AI4SE）行业健康有 序发展，中国信息通信研究院（简称"中国信通院"）与中国工商银行、北京兴云数科技术有限公司、北 京百度网讯科技有限公司牵头，联合农业银行、邮储银行、科大讯飞、腾讯、阿里、华为等二十余家头 部企业共同编制《面向软件工程智能体的技术和应用要求 第1部分：开发智能体》（标准编号AIIA/T 0219-2025），现正式发布。本标准围绕技术能力、服务能力两大维度，提出了开发智能体的能力建设 和应用要求，技术能力涵盖感知能力、记忆能力、规划能力、执行能力等四个方面，服务能力包括编码 智能体、单元测试智能体、检查修复智能体、智能问答智能体及开发全流程智能体，对开发智能体提出 了全栈的技术能力要求。一方面，可为企业开发智能体提供能力建设指导，助力产品快速迭代；另一方 面，可为企业提供技术选型参考，推动开发智能体的落地应用。 ...