Tbf AI tag should be about AI-generated assets. Cause there is no problem in keeping code quality while using AI, and that’s what the whole dev industry do now.
there is no problem in keeping code quality while using AI
This opinion is contradicted by basically everyone who has attempted to use models to generate useful code which must interface with existing codebases. There are always quality issues, it must always be reviewed for functional errors, it rarely interoperates with existing code correctly, and it might just delete your production database no matter how careful you try to be.
I feel like I get where he’s coming from, but I can see the revulsion.
I picture someone asking their AI to write a rules engine for a gamemode and getting masses of duplicative, horrific code; but in my own work, my company has encouraged an assistive tool, and once it has an idea of what I’m trying to do, it will offer autocomplete options that are pretty spot on.
Still, I very much agree it’s hard to sort the difference and in untrained hands can definitely lead to unmaintainable code slop. Everything needs to get reviewed by knowledgeable human eyes before running.
The killer app is language processing and if a localization contractor isn’t using an LLM to quickly check for style errors and inconsistencies, they’re just making it hard for them for no good reason.
Tbf AI tag should be about AI-generated assets. Cause there is no problem in keeping code quality while using AI, and that’s what the whole dev industry do now.
This opinion is contradicted by basically everyone who has attempted to use models to generate useful code which must interface with existing codebases. There are always quality issues, it must always be reviewed for functional errors, it rarely interoperates with existing code correctly, and it might just delete your production database no matter how careful you try to be.
I feel like I get where he’s coming from, but I can see the revulsion.
I picture someone asking their AI to write a rules engine for a gamemode and getting masses of duplicative, horrific code; but in my own work, my company has encouraged an assistive tool, and once it has an idea of what I’m trying to do, it will offer autocomplete options that are pretty spot on.
Still, I very much agree it’s hard to sort the difference and in untrained hands can definitely lead to unmaintainable code slop. Everything needs to get reviewed by knowledgeable human eyes before running.
keeping code quality is not the same as code generation
So don’t accept code that is shit. Have decent PR process. Accountability is still on human.
The people lazy enough to have ai generate their code aren’t going to do that.
Hahahahahahahaha
The killer app is language processing and if a localization contractor isn’t using an LLM to quickly check for style errors and inconsistencies, they’re just making it hard for them for no good reason.