June 2027
Intermediate
300 pages
57m
English
Overview
As LLMs become an everyday developer tool, the challenge isn't whether to use AI in software design but how to use it. AI-Driven API Design is a practical guide to treating modern AI tools as active collaborators in the API creation process. Rather than replacing human decision-making, author Mike Amundsen shows how AI can support it by generating, refining, and validating the core artifacts of API design.
Following a hands-on workflow, you'll learn to work with tools like ChatGPT and Claude to cocreate API stories, OpenAPI specs, human-readable docs, tests, and governance policies. Each chapter takes you through a key deliverable and demonstrates how to use AI responsibly and effectively to accelerate design while preserving clarity and control.
- Translate human-centered API stories into consistent technical artifacts
- Generate OpenAPI specs, test scripts, and docs using AI tools
- Use prompt engineering to drive quality outputs across the API lifecycle
- Apply validation techniques to ensure correctness and maintainability
- Develop practical design workflows that scale across dev teams
- Turn AI experimentation into structured, repeatable processes
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