The C-suite (and the Board) jumped on to it as a way to reduce headcount and cost, and have stuck their heads in the sand when data shows project velocity is slowing, and bugs are getting created more frequently. Primarily because they have attempted to replace experienced teams with Cursor and cheap outsourcing.
The allure is apparently too strong to face reality that AI can be a powerful addition to the toolbox for productivity, but it is not a replacement for actual skill and experience.
Searching for answers in the proper context was difficult pre-AI for some language languages (ex. "Go" vs "Golang" [1]), I wonder if search term collision with the word "script" is going to be better or worse with summarized searches.
[1] The Go language developers at sometime asserted the name was not "Golang", but that produced much better search results.
The C-suite (and the Board) jumped on to it as a way to reduce headcount and cost, and have stuck their heads in the sand when data shows project velocity is slowing, and bugs are getting created more frequently. Primarily because they have attempted to replace experienced teams with Cursor and cheap outsourcing.
The allure is apparently too strong to face reality that AI can be a powerful addition to the toolbox for productivity, but it is not a replacement for actual skill and experience.
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