Every codebase I listed was over 10 years old and had millions of lines of code. Instagram is probably the world's largest and most used python codebase, and the camera software I worked on was 13 years old and had millions of lines of c++ and Java. I haven't worked on many self contained things in my career.
LLMs can help with these things if you know how to use them.
Jobs comprise different tasks, some more amenable to LLMs than others. My view is that where scepticism exists amongst professional senior engineers, its probably well-founded and grounded in the kinds of tasks that they are engaged with.
I'd imagine everyone in the debate is using LLMs to some degree; and that it's mostly about what productivity factor we imagine exists.
They are busy doing their work and prefer their competitors (other developers) to not use these tools.
Someone else responds that video of the author actually using the tools would be more convincing.
Then you respond with essentially “no one wants to convince you and they’re too busy to try”.
Now if you misspoke and you’d like to change what you said originally to “many AI users do want to convince AI skeptics to use AI, but they only have enough time to write blog posts not publish any more convincing evidence”, then sure that could be the case.
But that ain’t what you said. And there’s no way to interpret what you said that way.