Does anyone else not understand the hype with AI generated code?
This can feel maddening, but is basically the approach taken for a few decades in many companies.
Developpers who think long and hard about their code and bring stability to the code base cost money, sometimes a lot. In comparison many businesses can get away with the "cheap labor with meh output but handled by QA and a management layer" approach.
That was Taylorism in the early days, outsourcing to random location also came from the same philosophy, the dream of "code modules" from the EJB area
that non devs would just mix and match, etc.
That dream will always live, if AI isn't it, something else will come up as a magical wand that somewhat generate output from a wide cheap "meh" labor base that only needs to be checked and managed by a few knowledgeable people.
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This can feel maddening, but is basically the approach taken for a few decades in many companies.
Developpers who think long and hard about their code and bring stability to the code base cost money, sometimes a lot. In comparison many businesses can get away with the "cheap labor with meh output but handled by QA and a management layer" approach.
That was Taylorism in the early days, outsourcing to random location also came from the same philosophy, the dream of "code modules" from the EJB area that non devs would just mix and match, etc.
That dream will always live, if AI isn't it, something else will come up as a magical wand that somewhat generate output from a wide cheap "meh" labor base that only needs to be checked and managed by a few knowledgeable people.