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My Book: "Test Like a Machine, Think Like a Human"

My Book: "Test Like a Machine, Think Like a Human"

By Thomas Howard – Coming January 2026

In Test Like a Machine, Think Like a Human, I take you inside the evolving world of Quality Engineering — where AI is reshaping everything from how we write test cases to how we think about risk, velocity, and value.

This isn’t just a “AI in QA” guide. It’s a roadmap for engineers, testers, and tech leaders who want to harness AI as a force multiplier — without losing the critical thinking, creativity, and human judgment that still make or break quality.

Packed with real-world examples, battle-tested strategies, and a look ahead at the next decade of software quality, this book is for anyone ready to move beyond the old QA playbook and lead in the AI-powered era.

Chapters

Part 1: The Shift (Mindset & Context)

  1. The Old Model of QA vs. the AI-Powered Future

Part 2: The AI Toolkit for QA (Capabilities & Tools)

  1. From Manual Test Cases to AI-Generated Suites (LLMs & test generation)
  2. Agentic Automation: When Tests Think for Themselves (QA agents)
  3. The Self-Healing Pipeline (automation that adapts)
  4. Metrics That Actually Matter (rethinking test coverage in the AI era)

Part 3: Testing the Machines (Special Challenges)

  1. Testing AI Systems (Without Losing Your Mind) (LLMs, agents, model drift)
  2. Risks, Ethics, and PHI: Building Compliant AI Workflows

Part 4: People & Process (Roles, Skills & Strategy)

  1. The Human Edge: Skills AI Can’t Replace
  2. New Roles in QA: From Test Engineers to AI Quality Architects
  3. Your AI-QE Roadmap for the Next 3 Years (strategic adoption plan)

Part 5: The Road Ahead (Vision & Inspiration)

  1. The Future of Quality Engineering (autonomous QA, dev-QA co-pilots)
  2. Case Study: Snap eHealth’s Automation Evolution (real-world example)
  3. How to Start: AI Tools, Stack, and First Projects (practical jumpstart)
  4. Your Career in the AI-QE Era: What to Learn Next (continuous growth)
  5. What AI Can (and Can’t) Do in Testing
  6. Shifting Left in an AI World
  7. Avoiding the Pitfalls of AI Hype