GPT-5 Pro catches more bugs in my code than I do now. It is very very good.
LLMs are pretty consistent about what types of tasks they are good at, and which they are bad it. That means people can learn when to use them, and when to avoid them. You really don't have to be so black-and-white about it. And if you are checking the LLM's results, you have nothing to worry about.
Needing to verify the results does not negate the time savings either when verification is much quicker than doing a task from scratch.
My code is definitely of higher quality now that I have GPT-5 Pro review all my changes, and then I review my code myself as well. It seems obvious to me that if you care, LLMs can help you produce better code. As always, it is only people who are lazy who suffer. If you care about producing great code, then LLMs are a brilliant tool to help you with just that, in less time, by helping with research, planning, and review.
LLMs are pretty consistent about what types of tasks they are good at, and which they are bad it. That means people can learn when to use them, and when to avoid them. You really don't have to be so black-and-white about it. And if you are checking the LLM's results, you have nothing to worry about.
Needing to verify the results does not negate the time savings either when verification is much quicker than doing a task from scratch.
My code is definitely of higher quality now that I have GPT-5 Pro review all my changes, and then I review my code myself as well. It seems obvious to me that if you care, LLMs can help you produce better code. As always, it is only people who are lazy who suffer. If you care about producing great code, then LLMs are a brilliant tool to help you with just that, in less time, by helping with research, planning, and review.