Microsoft’s Vision for an Internet Made for Agents With CTO Kevin Scott (Best of the Pod)

AI agents are moving beyond simple reasoning tasks toward an "agentic web," a decentralized ecosystem where agents autonomously interact with diverse systems and data. While scaling laws continue to drive model performance, a "capability overhang" persists, necessitating better integration between model reasoning and real-world utility. Standardized protocols like the Model Context Protocol (MCP) are essential for this transition, enabling agents to securely access APIs and information sources. Security in this open, permissionless environment relies on identity-based entitlement systems and user-delegated permissions rather than rigid, proprietary constraints. As software engineering evolves, developers are shifting from synchronous, prompt-based interactions to complex, asynchronous workflows where agents handle multi-step tasks. Embracing these tools allows makers to focus on outcomes while maintaining the craft and strong opinions that define their professional identity.