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.

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

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.