From Domain Discovery to Working APIs with AI
AI is making code generation cheap. The constraint in API work is shifting to design; how systems are defined, aligned, and governed over time. This talk outlines a practical approach to using AI as a design collaborator that augments and amplifies human capability rather than replacing it. Starting from domain discovery, you’ll see how AI extracts a shared vocabulary and carries it through OpenAPI definitions, documentation, security profiles, and test scripts all ending in a working prototype. Throughout the end-to-end example, the focus is on traceability: maintaining a clear, reviewable line from business intent to running system while sharpening the skills required to design well. For architects and decision-makers, this creates a consistent, reviewable process with measurable outputs. For developers, it reduces manual effort while strengthening core design skills. The result is a lightweight workflow that accelerates delivery while preserving control and capability.
Speakers
Mike Amundsen
Author, Speaker, Advisor
Mike Amundsen is an internationally recognized author and speaker focused on network architecture, Web development, and the intersection of technology and society. He helps organizations design sustainable API ecosystems and navigate digital transformation, and is the author of RESTful Web API Patterns and Practices Cookbook (2022) and Design and Build Great APIs (2020). His current work explores AI-augmented API design, composable service platforms, and the future of human–machine collaboration.