Why Human Code Reviewers Must Still Own Approval of AI-Generated Code

A software engineer argues that while modern AI models have become significantly better at generating and even cleaning up code, the responsibility for approving that code must remain with humans who can explain it. The author notes that current AI models tend to treat every detail in a prompt as a major system concern, often producing overly complex logic with unnecessary abstractions and layered conditions. This creates a challenge during code review, where teammates may struggle to justify design decisions that originated from an AI model rather than deliberate engineering choices. The author proposes lowering the bar for stylistic polish in AI-generated code while maintaining strict standards for comprehensibility and explainable control flow. Separating genuine technical concerns from team style preferences, the piece concludes, is key to making AI-assisted development workflows both efficient and accountable.