Core Insights - The article discusses the "Agent+Coding" paradigm introduced by JD Cloud, which aims to reshape enterprise AI development by integrating AI applications into core business processes rather than focusing solely on individual agent functionalities [1][3][10] Group 1: New Development Paradigm - JD Cloud has launched the "Agent+Coding" paradigm, combining the JoyAgent intelligent agent platform and the JoyCode intelligent coding platform to provide a new path for deep AI application development [1][3] - This paradigm creates a continuous evolution loop where agents simplify coding, and coding enhances agent capabilities, leading to increased automation and intelligence in AI development [3][10] Group 2: JoyAgent Platform - JoyAgent 3.0 showcases multiple technological breakthroughs, including open-source multi-modal RAG technology that supports cross-format and multi-modal retrieval, enhancing the understanding and governance of diverse data types [5][9] - The platform's cross-platform connectivity allows seamless integration of external agents and supports collaboration with other platforms, addressing the challenge of integrating AI applications with existing enterprise systems [5][6] Group 3: Production-Level Validation - Unlike many experimental agents, JoyAgent has been validated through extensive internal business scenarios at JD, resulting in 37,000 stable production-level agents that demonstrate the commercial value of the Agent+Coding model [6][10] - These agents have been applied in various complex business scenarios, such as recruitment, training, and data analysis, transforming operational models into new productive forces [6][7] Group 4: Open Source Strategy - JD Cloud's ability to integrate the intelligent agent and coding platforms stems from a unique technical architecture and open-source strategy, allowing for tighter collaboration between JoyAgent and JoyCode [9][10] - The open-source approach has garnered industry recognition, with JoyAgent receiving over 10,000 stars on GitHub since its launch, positioning it among the top-tier intelligent agents globally [9] Group 5: Industry Transformation - The "Agent+Code" development paradigm addresses the "last mile" issue in AI applications, ensuring that intelligent capabilities are deeply embedded in core business processes [10] - This combination of agile insights and robust development is becoming the standard for AI implementation across industries, facilitating a collaborative process between business experts and technical teams [10]