Nope, its about AI code reviewing AI, and how that's a good thing.

Its like everyone suddenly forgot the old adage: "code is a liability".

"We write code twice as fast!" just means "we create liability twice as fast!". It's not a good thing, at all.

Before running LLM-generated code through yet more LLMs, you can run it through traditional static analysis (linters, SAST, auto-formatters). They aren’t flashy but they produce the same results 100% of the time.

Consistency is critical if you want to pass/fail a build on the results. Nobody wants a flaky code reviewer robot, just like flaky tests are the worst.

I imagine code review will evolve into a three tier pyramid:

1. Static analysis (instant, consistent) — e.g using Qlty CLI (https://github.com/qltysh/qlty) as a Claude Code or Git hook

2. LLMs — Has the advantage of being able to catch semantic issues

3. Human

We make sure commits pass each level in succession before moving on to the next.