AI for Testing: Coverage, Edge Cases, and Confidence

Testing has always been the place where software meets reality — but reality is infinite, and your time is not. This book shows you how to pair your hard-won judgment with an AI collaborator that can surface edge cases you'd never think to list, map coverage gaps that hide in plain sight, and give you the confidence to ship with fewer regrets. You'll learn to brief an assistant for test generation, verify every result against your own standards, and spot the moments when the machine is confidently wrong. Whether you're wrangling unit tests, integration suites, or exploratory sessions, the goal is the same: more signal, less noise. Every technique is built around review, responsibility, and real-world practicality. By the end, you'll treat AI not as a shortcut but as a thinking partner — one that makes your testing sharper, your edge cases stranger, and your confidence truly earned. Part of The AI Maker Library.

About the author

Anika Rao Bishop writes for The AI Maker Library.

© 2026 PublishDrive (E-bog): 6610001401375

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E-bog: 28. september 2026