This blog post argues that code review should focus more on verifying outcomes rather than determining if code is 'good' or 'bad'. It highlights the inefficiencies caused by AI in code creation and suggests that traditional review methods fall short. Instead, it advocates for practical verification through real-world testing, emphasizing the need for developers to shift their approach to code review and leverage AI for better code quality.