Finally, good efficient code is going to get its moment to shine! Which will totally happen because it's not like 80% of the industry is vibe coding everything, right?
Yeah, I got the AI to convert some code that ran at 30fps in Javascript to C, and it resulted in a program that generated 1 frame every 20 seconds. Then I told it to optimize it, and now it's running at 1 fps. After going back and forth with the AI for hours, it never got faster than 1 fps. I guess I'm "doing it wrong" as the hypesters like to tell me.
> Yeah, I got the AI to convert some code that ran at 30fps in Javascript to C, and it resulted in a program that generated 1 frame every 20 seconds. Then I told it to optimize it, and now it's running at 1 fps. After going back and forth with the AI for hours, it never got faster than 1 fps. I guess I'm "doing it wrong" as the hypesters like to tell me.
Remove the "I actually only want a slideshow" instruction from your prompt :-)
speedrunning super mario world with neural nets is weirdly effective though. i guess you need a genetic algorithm to refine different approaches rather than a neural net.
Honestly speaking, it has started to look like AI coders could actually do a better job than 80% of app developers in writing efficient apps just by being set to adhere to best-practice programming conventions by default (notwithstanding their general tendency of trying to be too clever instead of writing clear and straightforward code).
This is my theory: we're going to see a lot of languages with straightforward and obvious semantics, high guard rails, terrible dx, and great memory allocation and performance behavior out of the box. Assembler or worse, but with extremely strong typing bolted on in a way that no human would ever tolerate, basically, something in that vibe.
I vibe coded a library in Nim the other day (a language I view very much as a spiritual continuation of the Pascal/Modula line), complete with a C ABI.
The language has well defined syntax, strong types, and I turned up the compiler strictness to the max, treat all warnings as errors etc. After a few hours I put the agent aside, committed to git then deleted everything and hand coded some parts from scratch.
I then compared the results. Found one or two bugs in the AI code but honestly, the rest of our differences were “maters of taste” (is a helper function actually justified here or not kind of things).
Yeah actually I worked with Pascal early in my career and that's kinda the vibes I am thinking about, with maybe a stronger type system more ada-esque though (composite, partial and range-and-domain types, all that jazz)
