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Agree. It should fall on to developers to decide what to do = whether tackling tech debt is viable solution (whether making decision on their own or talking to people that can make such decision) or not. If, however, you're told "here is a codebase that you're seeing for first time, fix this error" and you simply cannot make the decision, even prior to LLMs you'd put a bandaid on it. Or at least - that's the standard approach = fix now, refactor later, where later in my experience never happens (sorry for this train of thought).

I don't think this is anything new, nor LLMs are to blame here. Although - LLMs want to make you happy, or maybe they don't think about what user actually needs, just how to accomplish the goal that was stated; they do stuff without asking questions (unless you constrain them or plan first). I've actively put in a hook for my agent to not make decisions on their own and ask me when it detects it's about to make a decision.

Agreed, it is not at all a new problem. The enterprisey codebases I’ve encountered are ones that have chronically had no clear owner, or constant ownership churn. I have been in that position before, and I also decided to make the code even more bloated for the same reason: I did not and was not going to have the time to learn the system well enough to safely do a better job.

I think where a lot of people run into problems with the KISS principle is they conflate simple and easy. More often than not, simple is hard. Which is maybe a soft reason why agentic coding, which is all about trying to make every task easy, leads so consistently to complexity and bloat.

Nobody else is likely to see this comment but I want to make it anyway. Yes, simple is hard. Thank you for articulating it so well.

And yes, that's also why LLM code is usually (unless driven by someone who really knows what he's doing) full of unnecessary complexity. Because although LLMs can get a much broader "understanding" of a code base than I would have given them credit for a couple years ago, their "understanding" is still shallow. And what you need to truly be able to achieve that hard simplicity (I heard someone refer to it once as "the simplicity on the other side of complexity", e.g. when Kepler figured out that orbits were ellipses, not circles, and that allowed getting rid of epicycles) is deep understanding. Which LLMs are not capable of, hence why their code is full of the kind of needless complexity that one produces when one has only a shallow understanding of the code. (E.g., you in that enterprisey codebase when you weren't going to be given time to reach deep understanding).