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@markhughes @david_chisnall I agree with you, but to be fair it was around the time when people just started using LLMs and code agents (or at least started around me), so I was in the impression that - as with other technologies - my peers will weigh the pros&cons and my opinion will matter on the subject.
since then I know that's not the case and I just quietly do my work without "AI", and snarkly smile when a stupid implementation turn out to be an LLM output without review by the author 🫠
@david_chisnall I got this argument two years ago from various colleagues, as "look, LLM is very good at generating boilerplate for front-end tests, back-end api functions...".
my immediate reply was *why do we need those boilerplates? why don't we create an abstraction layer that does all of those and call that every time we need it?*
they usually just answered with dismissal and vaguely explaining it would be too much work - so instead of reducing complexity, we added more via "AI" agents 🫠
