普惠金融，特别是小微企业融资问题，被称为"世界性"难题。由于小微企业的金融需求特点 是"短、小、频、急、散"，商业银行普惠金融业务普遍面临服务规模化、风险可控性与商业可持续 的"不可能三角"难题，如何构建高质量可持续发展的普惠金融模式，是提升实体经济服务质效的重要课 题。 中信银行坚守服务实体经济的初心使命，始终坚持金融工作的政治性、人民性，通过构建"产品创 新工厂、智能风控平台、数字运营体系"三大数字平台，依托"线上化—数据化—智能化"三步走，建 立"敢贷愿贷能贷会贷"长效机制，培育了中信特色的普惠金融数字化创新生态，全面提升了小微企业的 金融可得性，为破解"普惠不可能三角"贡献了中信方案。 产品创新工厂重构普惠产品供给模式。依托信用、抵押、质押等多条标准化生产线，打造"信贷工 厂"，实现了产品的"乐高式"组装和场景化定制，孵化了"房、链、政、创、网"五大系列、20余项体验 良好和成效显著的线上产品。 智能风控平台赋能业务的全程全景管理。秉承"数据资产即商业信用"创新理念，通过整合内部数 据、连通外部信息，利用人工智能、机器学习等技术构建多维度指标，首创了基于全链路自动机器学习 模式，在"指标体系—归因发现 ...

Core Viewpoint - Huawei has officially open-sourced its self-developed programming language "Cangjie," providing developers and enterprises with a new option for building high-performance and high-reliability applications [1] Group 1: Open Source Initiative - The open-sourcing of Cangjie aims to address the challenges of learning cycles and migration costs associated with new programming languages [1] - The AI programming assistant aiXcoder Agent offers an efficient practical path from learning to development [1] Group 2: AI Integration in Development - aiXcoder Agent autonomously learns from official documentation, quickly understanding the characteristics of the Cangjie language and generating structured knowledge summaries, significantly reducing traditional manual research time [1] - During the development phase, aiXcoder Agent can independently complete the entire process from project initialization, module splitting, coding implementation, compilation testing, to global deployment, demonstrating strong engineering planning and task execution capabilities [1] Group 3: Practical Application Example - An example of developing a DeepSeek-Chat command-line tool illustrates how aiXcoder Agent sequentially completes main program writing, API integration, module testing, and global debugging, achieving a seamless transition from language learning to actual development [1] - The entire process simulates the "learning—summarizing—developing—validating" loop of human developers, enhancing development efficiency while ensuring code quality and operational stability [1] Group 4: Implications for Enterprises - This practice indicates that with AI assistance, developers can more rapidly convert emerging programming languages into actual productivity, providing feasible paths for enterprise technology selection and team capability building [1]