I mostly agree, but today, Opus 4.5 via Claude code did something pretty dumb stuff in my codebase— N queries where one would do, deep array comparison where a reference equality check would suffice, very complex web of nested conditionals which a competent developer would have never written, some edge cases where the backend endpoints didn’t properly verify user permissions before overwriting data, etc.

It’s still hit or miss. The product “worked” when I tested it as a black box, but the code had a lot of rot in it already.

Maybe that stuff no longer matters. Maybe it does. Time will tell.

As someone who’s responsible for some very clean codebases and some codebases that grew over many years, warts and all, I always wonder if being subjected to large amounts of not-exactly-wonderful code has the same effect on an LLM that it arguably also has on human developers (myself included occasionally): that they subconsciously lower their normally high bar for quality a bit, as in „well there‘s quite some smells here, let’s go a bit with the flow and not overdo the quality“.

I have had a lot of success lately when working with Opus 4.5 using both the Beads task tracking system and the array of skills under the umbrella of Bad Dave's Robot Army. I don't have a link handy, but you should be able to find it on GitHub. I use the specialized skills for different review tasks (like Architecture Review, Performance Review, Security Review, etc.) on every completed task in addition to my own manual review, and I find that that helps to keep things from getting out of hand.

I don't think they generally one-shot the tasks; but they do them well enough that you can review the diff and make requests for changes and have it succeed in a good outcome more quickly than if you were spoon-feeding it little tasks and checking them as you go (as you used to have to do).