Avoiding the boilerplate is part of the job as a software developer.

Abstracting the boilerplate is how you make things easier for future you.

Giving it to an AI to generate just makes the boilerplate more of a problem when there's a change that needs to be made to _all_ the instances of it. Even worse if the boilerplate isn't consistent between copies in the codebase.

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conradfr 2 days ago | parent | next [-]

What's weird for me is that most frameworks and tools usually include generators for boilerplate code anyway so not sure why wasting tokens/money on that is valuable.

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globular-toast 2 days ago | parent | prev [-]

Yeah. I'm increasingly starting to think this LLM stuff is simply the first time many programmers have been able to not write boilerplate. They didn't learn to build abstractions so essentially live on whatever platform someone else has built for them. AI is simply that new platform.

I'm lazy af. I have not been manually typing up boilerplate for the past 15 years. I use computers to do repetitive tasks. LLMs are good at some of them, but it's just another tool in the box for me. For some it seems like their first and only one.

What I can't understand is how people are ok with all that typing that you still have to do just going into /dev/null while only some translation of what you wrote ends up in the codebase. That one makes me even less likely to want to type. At least if I'm writing source code I know it's going into the repository directly.

	▲	skydhash 2 days ago \| parent [-]
		The one thing I’m always suspicious about is the actual mastery (programming language and computer usage) involved. You never see anyon describe the context of what they’ve been doing pre-llm.