Unnecessarily doing extra work is not a virtue. Leave the Catholicism behind. I'm not using AI to replace proglem solving, thinking through and understanding the problem and then figuring out how to fix it, the systems thinking, design, architecture, algorithms, domain modelling, etc. I'm just not dealing with the BS "what was the order of the arguments this function took again? What's the library API for this?" stuff and writing boiler-plate or managing typechecker-driven refactors. The question is whether what you make is any good, and I still spend a lot of time making sure what I built made sense, is well factored and DRY, and is as elegant as I know how to make it. In fact, with the increased leverage LLMs give me, I've found myself spending more time on code quality and testing than I used to!
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Unnecessarily doing extra work is not a virtue. Leave the Catholicism behind. I'm not using AI to replace proglem solving, thinking through and understanding the problem and then figuring out how to fix it, the systems thinking, design, architecture, algorithms, domain modelling, etc. I'm just not dealing with the BS "what was the order of the arguments this function took again? What's the library API for this?" stuff and writing boiler-plate or managing typechecker-driven refactors. The question is whether what you make is any good, and I still spend a lot of time making sure what I built made sense, is well factored and DRY, and is as elegant as I know how to make it. In fact, with the increased leverage LLMs give me, I've found myself spending more time on code quality and testing than I used to!