欢迎来到AI智能体新时代：未来不是“为人创造”，而是“为AI服务”

Core Insights - The software market's "default choice" is shifting from human developer communities to recommendations and pathways provided by AI agents [4][7][22] - The emergence of AI agents is transforming decision-making processes, leading to a new infrastructure that supports these agents [6][9] Group 1: Shifts in Software Development - Developers are increasingly relying on AI recommendations rather than traditional sources like GitHub or Stack Overflow [4][7] - The number of potential developers has expanded dramatically, from approximately 20 million trained in computer science to potentially hundreds of millions globally [7][18] - The focus of software selection is transitioning from human interactions to AI-driven recommendations, indicating a significant market evolution [7][22] Group 2: Role of Documentation and Knowledge Bases - Documentation and knowledge bases are becoming critical entry points for AI agent recommendations, with companies like Resend optimizing their documentation for AI interactions [8][28] - The standard for "agent-friendly documentation" includes clear, structured answers and code snippets that facilitate AI operations [8][31] - The importance of documentation has shifted from being a supplementary resource to a necessity for AI agents, impacting business outcomes significantly [8][34] Group 3: Emergence of Agent-Centric Infrastructure - New infrastructures tailored for AI agents, such as Agent Mail, are being developed to overcome barriers posed by traditional systems [9][35] - The concept of an "agent economy" is emerging, where AI agents may operate independently and even develop their own economic systems [9][41] - There is potential for AI agents to engage in transactions using their own currencies, which could redefine the value of human currency [9][41]