Master Workshops: AI-Driven API Design & Build AI-Ready APIs

Trainer: Mike Amundsen (Founder & President, Amundsen, Inc.)
Tuesday, September 1, 2026
12:00 PM – 3:00 PM (PST)
API World — Workshop Stage B

This workshop teaches you how to leverage AI tools like ChatGPT, Claude, Gemini, etc., to optimize the design, documentation, and testing of web APIs. As AI becomes increasingly crucial in software development, this course will equip you to integrate AI-assisted automation into human-driven API design.

By the end of the course, you will be able to leverage AI to generate structured API documentation, automate security profiling, and produce comprehensive API test scripts, significantly improving efficiency and accuracy. Participants will see real-world exercises, including AI-assisted vocabulary extraction, OpenAPI generation, and automated test scripting, to gain practical experience in AI-powered API development.

Course Objectives

• How AI can assist in API development, from design to testing.
• Methods to extract API vocabulary using AI from user stories.
• How to generate OpenAPI specifications with minimal manual effort.
• Techniques to automate the creation of human-friendly API documentation.
• How AI can assist in identifying security risks and generating security profiles.
• Best practices for using AI-generated API test scripts.
• How to integrate AI-driven automation into an API development workflow.

Course Outcomes

• Utilize AI tools to extract structured API vocabulary from user stories.
• Generate valid OpenAPI documentation using AI assistance.
• Convert OpenAPI specifications into human-readable API documentation.
• Define and assess security policies for APIs using AI-generated insights.
• Generate and validate automated API test scripts with AI support.

Bio
Mike Amundsen is an internationally recognized author, speaker, and consultant specializing in network architecture, Web development, and the evolving relationship between technology and society. He works with organizations around the world to design sustainable API ecosystems and guide teams through digital transformation.

In recent years, Amundsen’s writing and talks have focused on AI-augmented API design, composable service platforms, and the future of human–machine collaboration—continuing his long-standing exploration of how systems evolve and how meaning emerges in connected environments. His current book project is “AI-Driven API Design” for O’Reilly.

Amundsen is the author of several influential books, including RESTful Web API Patterns and Practices Cookbook (2022) and Design and Build Great APIs (2020), and a contributor to Continuous API Management (2018, 2020). His earlier works, such as RESTful Web Clients (2017) and Microservice Architecture (2016), remain essential reading for modern software practitioners. He contributed to the O’Reilly book, “Continuous API Management” (2018). His “RESTful Web Clients”, was published by O’Reilly in February 2017 and he co-authored “Microservice Architecture” (June 2016).

Trainer: Emmanuel Paraskakis (Founder @ Level 250)
Tuesday, September 1, 2026
3:00 PM – 6:00 PM (PST)
API World — Workshop Stage B

In 3 hours, you’ll go from an idea to a running, agent-tested API. Requirements, spec, code, deployment, and proof it works with an AI agent. You build it, you test it, you ship it.

Your APIs were built for developers who read docs, ask questions, and figure out edge cases. Agents don’t do any of that. They need to discover, call, and chain your APIs without help. When they can’t, they move on. To a competitor. To scraping. To telling the user it couldn’t be done.

So instead of talking about what agent-ready means, we’re going to build it. From scratch. And prove it works.

Course Objectives

Here’s what you’ll build:

1. What agents actually want from your API, and the one thing they don’t
2. The design decisions that separate agent-friendly APIs from the rest
3. Write real requirements using Markdown and API standards (we provide them, or bring your own)
4. Design your API and generate an OpenAPI specification with AI
5. Mock it and put it in front of Claude Code. Does the agent understand your spec?
6. Build the real thing with Replit. Running endpoints, live.
7. Put your running API in front of an AI agent. Does it actually work?
8. Your agent-readiness checklist and roadmap for your team
9. Q&A and where to go from here

Course Outcomes

You’ll walk out with:

• Requirements you wrote
• An OpenAPI specification you generated
• A running API you built and deployed
• Proof it works with an AI agent
• A checklist and roadmap to take back to your team

Fair warning: this isn’t a lecture. You’ll be building for 3 hours straight.

Bio
Emmanuel Paraskakis has 15+ years of experience in APIs and API tooling, having built API programs for Enterprises at Verisk, Moody’s and Precisely. He has also shipped API Management tools at Apiary, Oracle and SmartBear, as the VP of Product for the world’s most widely used API framework, Swagger.

Today, he consults with global clients on APIs, MCP and Agents, teaches on Maven (3x courses with 4.7-5.0 ratings) and is a member of OpenAPI.