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It’s always a people problem: the reality behind AI in testing thumbnail
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It’s always a people problem: the reality behind AI in testing

A modern testing approach isn't about replacing human testers with automation. It's about collaboration across the entire SDLC to build the right thing and build it right.

Lewis Prescott explores the intersection of artificial intelligence and human-centric design within the software development life cycle. Using the theme of 'human' as an acronym, Lewis argues that while AI excels at repetitive tasks like coding, data analysis, and documentation, human intervention remains critical for risk discovery, requirement analysis, and team processes. 

He touches on the importance of communication through sessions like 'three amigos' and advocates for a shift toward acceptance test-driven development (ATDD) and Behaviour-Driven Development (BDD). 

During the Q&A, Lewis addresses the evolving landscape of QA roles, suggesting that the future focus will shift from manual code writing to interpreting AI outputs and managing high-level requirements.


Comments

Jesse Berkeley
Couldn't have said it any better Lewis!

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