It's really 2 very different things, only the "shilling" might be deja-vu.

Haha. My favorite shillings will always be NFTs and the "let's do email job pointless meetings in Second Life and call it Metaverse". Although the former is/was pure shilling, and the latter is/was a horrible pipe dream shilled as useful.

> Every software dev I know uses Claude at some level.

here is my leve:, try to get claude to properly perform some boring boilerplate for me until the tokens run out or i get super angry and then do it myself in a rage.

what stack do you work in, and how are you prompting it?

Ah, the old 'you're using it wrong'.

Either it's smart or it's not.

thank you.

If you said "This car is stupid, I can't drive it" and it turned out you weren't putting the key in the ignition...

my dude, i stopped listening to your pompous ass, take a hint.

Clearly you didn't ;)

In my experience it IS very smart for 90% of use cases. I'm curious to identify how someone could be using it in a way where that's not the case.

I hated AI tools a year ago and now I use them every day. If someone's opinions of AI were last updated > 6 months ago I don't think they've really given it a shot.

I find the best use of chatbots re: software engineering is more of an office hours with the professor than it is a fellow colleague; Use it for specifics. Throwing things over the fence to it often causes a reach into the bag of garbage spaghetti code that is half the internet content.

I've had luck with 'explain this bullshit code i need to update that no-one has touched in two years and none of the committers even works here anymore'. Getting it to actually add the feature, a bit of a crapshoot.

A Machine Learning + Large Language model is one popular technology. Decentralized blockchain tokens is another popular technology. Besides hype, there's not much in common with those technologies.