Adonis Celestine: Tech Triumphs and Human Trials
summary
Argues that test automation is causing deskilling through three concrete effects — lost tester instincts, dopamine/vanity metrics and automation bias — and cites 29% of software quality failures traced to insufficient testing and Applause’s 1 million-strong crowd as context. Demonstrates a pipeline that uses OpenAI/ChatGPT then IBM Watson plus a DOM-parsing filter to auto-generate risk matrices, BDD scenarios, code and execution; it runs but still hallucinates element IDs and needs human-steered remediation, so it helps speed regressions but does not replace manual exploratory work.
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chapters (12)
- 0:00Introduction
- 2:32Humans and technology history
- 7:55Losing skills to tech
- 10:44Dopamine and automation bias
- 12:50Technology and testers
- 16:48Vanity metrics in testing
- 20:47Automation bias in QA
- 24:23Generative AI demo
- 27:37Skills with AI in testing
- 30:29Balancing automation and judgment
- 33:44Key takeaways
- 34:53Q&A
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