Dave talks with Justin Collier, Vice President of Product Management at SmartBear, about the need for AI testing to mature, to keep pace with AI-generated code. About 69% of surveyed U.S. software experts said AI writes or accelerates at least 41% of their code, while only about 46% validate specifications before AI generates code.
Code coverage remains important, but it is not sufficient by itself. Teams should identify critical tests early and target tests to changed code and release risks, since running every regression test may not keep pace with frequent changes.
AI-generated tests need to verify software intent and should not simply let AI grade its own work. Teams need traceable records of test authorship and execution, release decisions, changes, and the rationale for shipping or holding software.
