Code review has become increasingly challenging with the rise of AI-generated code. Aleks Volochnev shares his experience transitioning from a hands-on developer to a role focused on verifying AI-created code. He highlights the irony that while AI accelerates code writing, it complicates the review process. The mental load of understanding and validating code that someone else, in this case an AI, has generated adds complexity. Volochnev recalls how he used to take pride in writing clean, quality code but now finds himself struggling to maintain that standard with AI's rapid output. To address this issue, Volochnev began using CodeRabbit, which helps streamline code reviews. Initially, he found the tool useful for catching bugs after code was pushed, but this approach still left him vulnerable to scrutiny from his team. The introduction of CodeRabbit’s IDE extension allowed him to review code locally before pushing it to the repository, effectively restoring his quality control. The AI tool identifies issues in real-time and offers immediate, actionable fixes, which significantly reduces the effort required to maintain high standards. Volochnev emphasizes that while AI can generate code at an astonishing pace, the human element of reviewing and understanding that code remains a daunting task. The solution lies in automating the review process as thoroughly as the writing process. He advocates for integrating AI tools like CodeRabbit into daily workflows to ensure that code quality doesn't suffer as development speeds increase.