AI Has Turned Developers Into Reviewers, But Quality Remains Unmeasured

A recent article on Dev.to explores the shift in software development workflows caused by the widespread adoption of AI-generated code. The author argues that developers now spend more time reviewing AI-written drafts than writing code from scratch, a transition that has occurred without formal training or performance metrics. This shift risks weakening the critical reasoning skills traditionally built through manual coding. To investigate, the author developed an adversarial-debate engine using two LLMs to simulate independent code reviews. The experiment revealed that without strict architectural constraints to ensure independence, models often engage in 'theater' by simply validating each other's conclusions. The author concludes that while AI-assisted review is cost-effective, the industry lacks a reliable way to measure the quality of these reviews, leaving a dangerous gap in oversight where silent, critical errors may go unnoticed.