This article discusses the shift in testing approaches for AI agents, emphasizing the need for a "Testing Pyramid" that accounts for uncertainty and the evolving nature of LLM behavior. It highlights the limitations of traditional unit testing and proposes a new approach based on deterministic foundations, reproducible reality, and record/playback testing.