The task Large Language Models are best at is pattern correlation. Out of all the possible applications, reverse-engineering seems the most reasonable use case to me.

But figuring out how stuff works is the exact opposite of what they want vibe coders to do: Don’t think, don’t train your own skills, just trust the machine. And if it doesn’t work, just prompt again and keep wasting more tokens, pushing the usage metrics to convince investors they’re constantly growing, burning the planet and your company’s money.