[3836293648]

I feel like everyone praising AI is a webdev with extremely predictable problems that are almost entirely boilerplate.

I've tried throwing LLMs at every part of the work I do and it's been entirely useless at everything beyond explaining new libraries or being a search engine. Any time it tries to write any code at all it's been entirely useless.

But then I see so many praising all it can do and how much work they get done with their agents and I'm just left confused.

[typpilol]

Can I ask what kind of work area you're in?

[creshal]

Yeah, the more boilerplate your code needs, the better AI works, and the more it saves you time by wasting less on boilerplate.

AI tooling my experience:

- React/similar webdev where I "need" 1000 lines of boilerplate to do what jquery did in half a line 10 years ago: Perfect

- AbstractEnterpriseJavaFactorySingletonFactoryClassBuilder: Very helpful

- Powershell monstrosities where I "need" 1000 lines of Verb-Nouning to do what bash does in three lines: If you feed it a template that makes it stop hallucinating nonexisting Verb-Nouners, perfect

- Abstract algorithmic problems in any language: Eh, okay

- All the `foo,err=…;if err…` boilerplate in Golang: Decent

- Actually writing well-optimized business logic in any of those contexts: Forget about it

Since I spend 95% of my time writing tight business logic, it's mostly useless.