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.

So true! And it goes hand-in-hand with a different problem: You being able to try and brute-force solutions.

If you write your prompt as a request, and not carefully as an idea or suggestion, the bot can blindly agree to 'help'. And if you are stubborn about it, you can lose hours on something that cannot work, or make the code infinitely worse.

However, it's also the path of getting better at programming. To learn to take a step back, to ask yourself if it's really sensible. Just that now it also involves questioning the bot's help, as well as writing your prompts to prevent it.

Very well stated