The blog post mentions rising standards of quality enabled by AI-assisted code review, and that reverted code predates the era of AI. Even very competently managed codebases are not above mistakes, especially when held to as high of a standard as this.

I’ve noticed the GitHub copilot reviews have gone from mostly nitpicks to very complicated issues that are hard to even understand or validate. Some of these are incorrect but some of them are actual findings of issues that simply would have gone unaddressed previously.

So a lot of this increase in bug reports lately is simply that we are more able to find issues which would previously have been shipped and probably wouldn’t have even been noticed by users for a long time. The minimum bar for software quality is going up, there's no excuse to ship software which contains bugs that could be detected by an LLM.