Critics cite AI-generated code quality issues in real deployments
3Oct 30 5:05 PM · 13d ago · 2 comments · 1 source · development 3 of 7
A commenter noted that at their organization, an AI team launched a new product quickly but with significant bugs that frustrated customers. The team had to apply manual review and thinking to ship a working product, suggesting AI alone cannot handle product tradeoffs without human oversight.
“AI helps a lot and is great at certain well defined tasks, but the 'AI team' at my small org launched a new product very fast and very buggy. Customers were pissed.”
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What people said 2 voices · verbatim
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Is it really that grim? AI helps a lot and is great at certain well defined tasks, but the “AI team” at my small org launched a new product very fast and very buggy. Customers were pissed. They had to go back to reading the code and applying some thinking and care to get a working product out. Still faster don’t get me wrong but there’s still a…
PMs ultimately take bets. Some to many will fail and if they are great a few will pay off in an excessive way. I have yet to see anything in the AI field that make better bets than my best PMs (I manage 50 of them) but as soon as I do the whole calculus changes. I joke with them about it. They also joke back it could happen to me (which it…