This, I suspect, is exactly like offshoring - and a lot of companies died during the offshoring fad because their software products become full of low quality merges and feature improvements that the company couldn't afford to fix or remove by the time they realized there was a problem. That remains my primary concern with AI code generation - well established codebases might become full of slop to the point of being unusable without a clear path back to maintainability leading to company death.

▲

Marsymars 2 days ago | parent [-]

There's precedence for new versions of software being abandoned for older code bases... usually the new version doesn't ship or gets forked relatively quickly though, e.g. the Windows Longhorn reset or the Gnome 3/MATE fork.

	▲	munk-a 2 days ago \| parent [-]
		It can happen - and companies can recover from that. But that's wasting a whole lot of money and a lot of executives will sunk cost fallacy themselves into continuing when that may be the much saner decision. I didn't mean to imply that all companies that went hard into AI will die - just that a lot of companies that follow the trend may not realize the true maintenance costs and of those that did misguidedly follow the trend I'm sure some will luck or manage their way out of disaster for various reasons.