> Code reviews are going away because agents handle it.

Agents don't "handle" code review. With no human in the loop, there is no difference between "generating" code and "reviewing" code. Let's not bastardize the word "review". The code is unreviewed. Now, whether that's a dealbreaker or not for your project or company is a different question.

Personally, I've found that unreviewed LLM code unnecessarily explodes in complexity and the credit / token cost per change increases in tandem as the LLM pulls more into its context window. This is especially the case when you let it go wild on test cases. We don't have an unlimited budget for AI, maybe you do, so this is a concern for us. So we've decided to continue to review code and ask LLMs to significantly reduce the complexity of their generated code - which is a task that we're finding they are extremely bad at.

They're probably extremely bad at reducing complexity because the incentive for frontier model providers might be to train models that are capable of one-shotting flappy bird, instead of models that are capable of maintaining mature code bases that already have an implementation of the ad-hoc parsing function it just generated, as well as the newly-generated 50 test cases for it.