Which goes on to prove that bottleneck isn't in writing the code. It is in reading and understanding the code. We all had that one "productive" engineer in our teams who would write huge PRs that would have large swaths of refactoring whether warranted or not and that was way before anyone even could imagine in their wildest dreams that neural networks could generate that huge amounts of code. The net effect of such…
That naturally meant reading and understanding more code than writing. Sometimes my LOC count was even negative, and I was proud of that accomplishment.
Now with AI I write even less and I've given up on the dream to gain fulfillment that way. The ability to quickly understand large amounts of code from questionable sources, be them machine or human, should hopefully stay valuable until my retirement, especially when supported by AI? What do you think?