I'm going to start over, but refer to this one, and reimplement everything, step by step. Faster than googling StackOverflow, at any rate. 😅
Discussion
this is increasingly making me realize, this is the moment if i dont learn to prompt like the current CS students do.. out to pasture w me 😂
Yeah, gotta move with the times. 🤷♀️
This gets you a good prototype to show customers and can help you out, in a pinch, and find bugs.
This actually went quickly because I told to use the Alexandria repo as a code base. Everytime it got stuck, I told it to go look at Alexandria, again, and that got it pretty far. Would probably have to feed it more Kind 01 examples, to get it moving from here, but I need to clean that up, first.
i'm not wasting my time learning it until at least the code generators don't mangle the types in my Go code, every. single. time. doesn't even pass the lexical analysis step.
probably the hype about AI and code is based on the fact it can cope with the retardedly simple type semantics of javascript, which are basically nonexistent
ironically, it is easier for humans to reason about and more efficient for compilers to use strict typing, there is no compiler that outperforms Go on the basis of lines of code
I don't know if it has enough Go examples, yet. Typescript and PHP are more ubiquitous, so those are easier to AI.
I wouldn't AI code in C, either. Would be hilarious, tho. 😂
i think that they are optimizing for data size and compute time and more depth of causal chains means exponentially bigger models are required
probably you can make it work but you have to allow for 10-100x as much data in the model and about the same difference in computation, and my guess is that renders the efficiency gain null
and i don't think it's gonna be that much different in C, Rust or C++, they are all very strongly typed and have deep semantics with side effects that you don't see with the little scripts of javascript and python code
The bloat and redundancy is incredible. And just the nonsense and the ded code...
ded internet is gonna drive the peoples to the nostr
ded code is the open secret about AI code generation that the gigacorps like M$ and NVDA are not gonna include their marketing and all the suckers will buy it and all the managers will push to use it and eventually the actual decrease in productivity will be revealed and suddenly there will be a market crash because the NASDAQ right now is holding up only on that hot air
Yeah, it makes the whole thing run noticeably slower. Click on a button in Alexandria and it immediately does something. Click on a similar button in this thing and it's like, "Yo, hold up. I need to go get myself a coffee before I show you that note. Like chill. Take a seat."
Spinner spinning... 😏
Explains why relays are so fast, but so many clients are really slow.
They kept saying it's the relays, but nostr:npub1wqfzz2p880wq0tumuae9lfwyhs8uz35xd0kr34zrvrwyh3kvrzuskcqsyn and I were like
anyone who claims that AI helps them write software, except for summarising documention, is lying, either for pay or because tehy don't want to seem like a grumpy kitty
It's also true that connecting to one relay is lightning fast, but waiting for data streams to resolve across several relays can quickly slow things down.
and it is kinda worse when each realy is basically sending the same data too
Yeah a good SDK ought to be able to optimize those issues away.
I've used Claude a bit to help me explore and learn C++ language features, but I don't trust it to write C++ code as much as I trust it to write TS or Python.
yes having it go read docs, and other repos, even local checkouts.. thats kinda what ive been doing. it really likes the markdown in the nips for example..
Great for writing in-line documentation, too.
This is the point, where the vibe coders usually give up and phone a dev friend, but I'm the friend, so I'll just take it from here.