A little-league field-lights pipeline runs the full regression suite on every merge, and the suite grows with each sprint. Why is this situation a strong fit for GenAI-assisted creation, maintenance, and optimization of regression tests?
Select an answer to reveal the explanation.
Short Explanation
Picture a conveyor belt that never stops: every merge dumps another box on it. GenAI can help build, fix, and trim the growing regression pile—but a person still checks the labels.
Full Explanation
High-frequency CI/CD increases the volume and churn of regression assets, which is exactly where GenAI assistance with creation, maintenance, and optimization pays off. The syllabus still expects tester review; GenAI does not replace judgment. Framing the problem as testing the model itself, or abandoning automation, misses the official rationale.