In an era where artificial intelligence (AI) writes code, reviews pull requests, and even generates tests, how does the standard Testing Pyramid still hold up? Has it quietly crumbled under more modern demands?
This presentation reexamines the iconic testing models — the Testing Pyramid, Trophy, and Honeycomb — not as golden rules, but as artifacts of a software testing world that existed before AI. The presenter explains why these traditional software testing models often fail in practice. She discusses how they clash with today’s rapid software development cycles and what a modern testing hierarchy could look like when AI joins the team.
As the maintainer of an open-source testing project, the presentation shares real-world insights into how software developers today are approaching unit tests, API integration tests, and the growing role of AI in automating, optimizing, and sometimes even breaking those workflows. The talk explores where AI shines (and where it doesn’t), the gap between hype and reality, and how teams can evolve their test automation strategy for this new testing paradigm.
Video producer: https://www.apidays.global/
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