It's similar to writing. Most people suck at writing so badly that the LLM/AI writing is almost always better when writing is "output".
Code is similar. Most programmers suck at programming so badly that LLM/AI production IS better than 90+% (possibly 99%+). Remember, a huge number of programmers couldn't pass FizzBuzz. So, if you demand "output", Claude is probably better than most of your (especially enterprise) programming team.
The problem is that the Claude usage flood is simply identifying the fact that things that work do so because there is a competent human somewhere in the review pipeline who has been rejecting the vast majority of "output" from your programming team. And he is now overwhelmed.
Because of just how many programmersI've interviewed who can't pass FizzBuzz?
I also taught upper level CS and my first assignment was always "You have 10 days. Here is a 10 line program on this sheet of paper. Type it in, check it into source control, and make the automated tests go green. Warning: start today."
1/3 of the class couldn't finish that task and would drop.
I think that this is the problem, actually.
It's similar to writing. Most people suck at writing so badly that the LLM/AI writing is almost always better when writing is "output".
Code is similar. Most programmers suck at programming so badly that LLM/AI production IS better than 90+% (possibly 99%+). Remember, a huge number of programmers couldn't pass FizzBuzz. So, if you demand "output", Claude is probably better than most of your (especially enterprise) programming team.
The problem is that the Claude usage flood is simply identifying the fact that things that work do so because there is a competent human somewhere in the review pipeline who has been rejecting the vast majority of "output" from your programming team. And he is now overwhelmed.