But Claude cannot code at all, it's gonna shit the bed and it learns only on human coders to be able to even know an example is a solution rather than a malware...
It works great. I have a faster iteration cycle. For existing large codebases, AI modifications will continue to be okay-ish. But new companies with a faster iteration cycle will outcompete olds ones, and so in the long run most codebases will use the same “in-distribution” tech stacks and architecture and design principles that AI is good at.
Who determined this? How?