Human Experience Testing – Redefining Quality Engineering in the Age of AI
summary
Claims that AI will take over testing and that agents are the future come with concrete evidence: a patented autonomous-testing system, an open-source prototype (AI generation and exploration in test), and a production platform using GPT‑3 and computer vision tested against app stores, video games and enterprise clients including Google Microsoft and Epic Games. Built systems run at scale and inform an EPAM O’Reilly report; outcomes show automation covers functional and crosscutting concerns but misses human experience testing across digital physical and experiential touchpoints which still requires real people.
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chapters (17)
- 0:00Introduction
- 1:11AI myths and testing future
- 3:01Academic roots of autonomous testing
- 5:52Pterodactyl project
- 8:47Test.ai and scalable AI testing
- 11:55EPAM and AI in quality engineering
- 13:45Generative AI integration
- 17:23AI takeover of lifecycle
- 22:22Human experience testing
- 24:05Three touch points of HET
- 26:12Experience testing example
- 31:58Why HET matters
- 35:30Testing and business outcomes
- 37:19AI systems and HET
- 38:44Testing AI for fairness
- 40:28Call to action
- 41:10Q&A
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