In her blog post, Jenn Cooper discusses the limitations of traditional test coverage in the context of AI-native development, particularly when using coding agents. She highlights that while unit tests can ensure local code correctness, they may hinder overall codebase coherence. Instead, she suggests broader automated checks as more effective safeguards against potential issues caused by agents.