The discussion revolves around the role of AI in code reviews and whether the original author of a code change should review their own work. Commentary from programmers emphasizes that while AI can assist in generating code, the accountability and responsibility remain with the human authors. Issues arise when authors can approve their AI-generated pull requests (PRs) without human oversight, leading to potential quality control problems. It's highlighted that many engineers may not review AI-generated code as thoroughly as their own, which can lead to lower code quality overall. AI tools have improved in writing tests and conducting reviews, but the consensus is that combining AI capabilities with human oversight will lead to better results. Critical points made include the need for human accountability in code ownership and the importance of thorough code review processes regardless of AI assistance. Overall, the incorporation of AI in coding practices is acknowledged as beneficial yet necessitates careful integration to avoid drawbacks related to quality and responsibility.