Core Insights - The article discusses the emergence of AI Coding, particularly focusing on the "Expert Team Mode" of Qoder, which allows for collaborative programming through multiple AI agents, enhancing efficiency and code quality [1][28][35]. Group 1: AI Coding and Expert Team Mode - The "Expert Team Mode" in Qoder enables the organization of a cyber engineering team that autonomously handles tasks, allowing developers to take on a managerial role [1][4]. - This mode demonstrates a shift from traditional coding to multi-agent collaborative programming, where AI assists in managing various aspects of software development [1][35]. - The article highlights the ability of the Expert Team to break down complex projects into manageable tasks, assigning them to specialized AI agents, thus improving workflow and productivity [4][11][32]. Group 2: Project Development Process - A personal blog project was initiated from scratch, with the Expert Team breaking down the requirements into eight tasks, showcasing the structured approach to project management [4][19]. - The project involved various roles, including general engineers, backend engineers, and QA testers, each focusing on specific tasks, which accelerated the development process [11][13][19]. - The completion of the project, including a full CRUD (Create, Read, Update, Delete) functionality, was achieved in just 16 minutes, demonstrating the efficiency of the Expert Team [19]. Group 3: Quality and Efficiency Improvements - The article emphasizes that the Expert Team Mode addresses common issues in AI coding, such as code quality and efficiency, particularly in complex projects that require multiple iterations [30][32]. - Qoder's internal testing showed a 67% improvement in code quality with the Expert Team Mode compared to its previous single-agent model, indicating significant advancements in software development practices [32]. - The multi-agent collaboration not only enhances individual capabilities but also allows for continuous evolution and learning of the AI agents, making them more effective over time [32][36]. Group 4: Future of AI Coding - The transition to multi-agent collaborative programming is seen as a necessary evolution in response to user demands for higher quality and efficiency in software delivery [35][36]. - The future of AI IDEs is expected to focus on managing these intelligent agents rather than just writing code, aligning with industry predictions about the direction of AI development tools [36][38].