Green Doesn't Mean Correct

A Field Handbook for Testing in the Age of AI

von Laxmikant Dange

142 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

AI can write a thousand tests before you finish your coffee.

That doesn't mean any of them are correct.

Green Doesn't Mean Correct is a practical field handbook for QA engineers, SDETs, developers, and engineering leaders working with AI coding assistants and AI-powered software.

The problem with AI-assisted testing isn't that AI produces obviously bad tests. The dangerous tests are the ones that look right, pass CI, increase coverage, and quietly verify the wrong behaviour.

This book gives you a practical system for avoiding that trap.

Inside you'll learn:

- How to establish an independent source of truth before asking AI to generate tests- The Six Questions framework for deciding what to delegate and what to verify- A practical autonomy model for AI-assisted testing- How to review AI-generated tests in seconds- The most common AI testing anti-patterns, including tautological tests, mock-heavy tests, reward hacking, fabricated evidence, and self-healing that hides real defects- How to test AI features using outcomes, trajectories, traces, judges, guardrails, and golden evaluation sets- How to use AI for exploratory testing, accessibility, performance, security, migrations, debugging, and test generation- What evidence to capture from AI agents and how to preserve human accountability- Which testing metrics become misleading when test generation becomes cheap- A practical 30/60/90-day rollout plan- 33 copy-ready prompts built around testing discipline rather than vendor-specific syntax>The central idea is simple:

A test passing is evidence that a test passed.

It is not proof that the software is correct.

If your team is using AI to write code, generate tests, investigate failures, or evaluate AI features, this handbook will help you build the verification discipline needed to know when "green" actually means something.

• Reihe: Independently published
• ISBN: 9798193659365
• Sprache: Englisch
• Erscheinungsdatum: 16.09.2026
• Größe: 229 x 152 mm
• Verlag: Independently published