Catching bugs is only one of the reasons code review is important. It is also important to transfer knowledge between developers and review design, architecture, scalability, and performance concerns.
I don't know about knowledge transfer. I feel that can be done separately and more effectively. However in the context of this article, if you're going to build an AI tool to aid the process, then why not make an AI that can be trained on a new feature and then tests code changes for bugs. The dev process has been increasingly more and more automated over the years, and I think that won't stop. The current low hanging fruits are things like rolling back the code when something breaks, and testing the code before publishing.. things that companies usually have a lengthy manual process for.
