Group 1 - The article discusses the transition from traditional software to AI Agents, emphasizing that Agents are not just an upgrade but a fundamental shift in how software exists and operates [6][35]. - Users are moving away from interacting with multiple apps to issuing commands to intelligent assistants, indicating a change in user behavior and software interaction [2][4]. - The emergence of AI Agents is redefining the roles of software developers, product managers, and software vendors, necessitating a reconstruction of system architecture and interaction paradigms [5][30]. Group 2 - AI Agents represent a shift from interface-driven interactions to intent-driven operations, where users express their goals rather than learning software commands [10][11]. - The traditional software model, which relies on fixed processes and user-driven functionality, is being replaced by dynamic, self-adapting systems that can autonomously execute tasks [12][13]. - The article outlines a comparison between traditional software and AI Agents, highlighting differences in user interaction, execution methods, task completion, adaptability, response results, and software roles [15]. Group 3 - The introduction of AI Agents is fundamentally altering the software ecosystem, challenging the existing competitive landscape of SaaS and the nature of app interactions [25][26]. - Software products are transitioning from being standalone applications to modular capabilities that can be dynamically combined and orchestrated by Agents [19][20]. - The boundaries between software products are becoming fluid, with a focus on capability rather than fixed functionalities, leading to a new norm where functions are treated as APIs and products as modules [22][23]. Group 4 - The article identifies core software logic that remains relevant, such as user value, data security, and business models, while also emphasizing that the methods of achieving these goals are changing [28]. - Key areas that require rethinking include user interaction methods, functionality design, process control mechanisms, and the understanding of software boundaries [31][32]. - Companies must adapt to the Agent-driven landscape by redefining their product design, technical architecture, and business strategies to remain relevant [30][34].