I guess with LLM as the reviewer, it is going to take a lot longer to be Zero Defect, unless they use LLM as the coder, too.
Not every time. But often enough.
At a micro scale their code is right, but tons of invented complexity no sane person would introduce. I've found the two most common triggers are the models polluting their own context windows (poorly worded instructions in comments/issues/AGENTS.md) and a poor "taste" for breaking changes (they'll constantly try to make their additions non-breaking, and if prompted they can make breaking changes, it has to be very carefully scoped or they start assigning great reward to ripping out things)
And as others have said some models people prefer for implementation work are less prone to this.. 5.6 Sol, 6.1 Sol, Opus 5.5
There are still a lot of issues with coding that require intervention. Just recently, I had Astra detect a minor bug in an HTTP client that resulted in it deciding that the best approach would be to spend 1800 LOC on implementing its own from scratch. Some other time, Opus 5.5 was trying to tell me that test runs on a small to mid-sized application would take another three weeks until they would be fully finished.
I'm not going to say that's always what happens. But I will say that you can't find problems you aren't watching for.
I can't, but Claude almost regularly comes across "BTW things". I catch them because I read the lead agent's transcript, and have worker agents always add a retro section to their report, so I'm almost always seeing attention-worthy things pop up.
But think of Claude as being like a particularly keen outsourced developer: great at the tactical stuff, but sometimes lacks common sense in weird and surprising ways, so you’ve still got to keep an eye on the work product.
Just because *you* can avoid it doesn't mean it's not an issue with the tooling.
Also maybe I'm a curmudgeon but I generally at least mark-one-eyeball all the tests it's generating and tell it when it's being extra dumb.
Anecdata, but most of the time when something doesn't smell right to me looking at genAI code, the root cause is ridiculous tests that made their way into the repo. And then the agents built up around it.