Management think models mean juniors can do senior work. Juniors don't know the footguns. Juniors can't read the code that the system outputs. Models get overwhelmed in any decent sized codebase.
Why would you be surprised there are failures?
Management think models mean juniors can do senior work. Juniors don't know the footguns. Juniors can't read the code that the system outputs. Models get overwhelmed in any decent sized codebase.
Why would you be surprised there are failures?
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Prod bugs up 260% since AI approval? Yeah, I'm gonna disagree.
BAs using AI make worse designs, management makes seniors redundant making code worse, and then QA is also laid off to make room for agentic testing. The results are not a surprise in anyway.
Refusal to consider evidence to the contrary is certainly symptomatic of something, and it isn't a well-reasoned argument. "Us" sounds like the corporate leadership I work with that have actively pushed teams to incur mountains to tech debt. I was walking over org metrics this week and sure enough, there's a rising tide of unplanned work for bugs, performance problems, and security snafus introduced during an aggressive push into GenAI with pressure to "just make agents do it."
All of which was, of course, predicted by management, reported upwards, and ignored.