Product managers can leverage AI agents to build fully functional software applications by simulating a professional engineering team. Gabor Meyer, a product manager at Google, demonstrates an agentic workflow using Claude Code, where specialized agents—including system analysts, designers, and testers—collaborate to handle requirements, documentation, and coding. By establishing a rigorous upfront specification and connecting tools like Jira, Confluence, and Figma via Model Context Protocol (MCP), developers avoid common pitfalls like spaghetti code and unmaintainable architecture. This approach shifts the role of the product manager toward that of an AI-powered builder, enabling the creation of production-ready apps in hours rather than weeks. Mastering these agentic processes provides a competitive advantage, as the future of product development increasingly relies on orchestrating autonomous agents rather than manual coding or traditional project management.
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