AI前线·2025-06-18 06:06Core Insights - The article discusses the AICon Global AI Development and Application Conference held in Beijing, focusing on how AI empowers research and development efficiency through various expert presentations [1][8]. Group 1: AI Programming Paradigm Shift - The transition from "Copilot" to "Agent" in AI programming signifies a move towards more intelligent systems capable of autonomous reasoning and context awareness, enhancing human-computer collaboration [2]. - The presentation will outline the evolution of this paradigm and its implications for development methodologies [2]. Group 2: Code Intelligence in Large Teams - Tencent's experience in implementing code intelligence within a large development team will be shared, focusing on aspects like code completion, technical dialogue, code review, and unit testing [3]. - The speaker will compare different paths taken in the industry, highlighting areas of substantial progress and those still in exploration [3]. Group 3: Coding Agent for Process Improvement - The concept of a Coding Agent extends beyond coding assistance to optimizing development processes, detailing the evolution from code completion to conversational programming [4]. - The presentation will address challenges faced during implementation and strategies for continuous iteration based on data and platforms [4]. Group 4: AI in Game Development - The application of large models in complex game development scenarios will be explored, showcasing a solution that includes code knowledge graphs and multi-Agent collaboration [6]. - The speaker will discuss the effectiveness of AI in enhancing team collaboration and code asset utilization [6]. Group 5: AI Collaboration Framework - Baidu's integration of "large models + digital employees" in the development process will be highlighted, focusing on creating an executable AI collaboration system [5]. - The presentation will cover the product composition of digital employees and strategies for human-machine collaboration to improve development efficiency [5]. Group 6: Event Overview - The conference will feature a series of presentations that provide insights into the technological evolution and practical applications of AI in enhancing research and development efficiency [8]. - Developers and technical teams seeking to improve engineering efficiency and build intelligent R&D systems will find valuable case studies and references [8].