Why is the answer of LLM-maximalists always you are holding it wrong?
I think a lot of experienced programmers, who have adopted LLMs early on, have the same finding: yes, LLMs give a great productivity boost. No, you cannot let agents completely wild without plenty of human supervision, because it will lead to a big ball of mud and atrophy knowledge of humans. I think these are relevant data points and they should be taken into account during the adoption of LLMs.
This type of LLM-maximalist thinking is thoroughly anti-scientific, they want to throw away data points that are not in line with the hypothesis they want to see confirmed at all cost.
I think a lot of experienced programmers, who have adopted LLMs early on, have the same finding: yes, LLMs give a great productivity boost. No, you cannot let agents completely wild without plenty of human supervision, because it will lead to a big ball of mud and atrophy knowledge of humans. I think these are relevant data points and they should be taken into account during the adoption of LLMs.
This type of LLM-maximalist thinking is thoroughly anti-scientific, they want to throw away data points that are not in line with the hypothesis they want to see confirmed at all cost.