alt Hacker NewsThe other element here is that the vibecoder hasn't done the interesting thing, they've pulled other people's interesting things.
Let's see, how to say this less inflamatory..
(just did this) I sit here in a hotel and I wondered if I could do some fancy video processing on the video feed from my laptop to turn it into a wildlife cam to capture the birds who keep flying by.
I ask Codex to whip something up. I iterate a few times, I ask why processing is slow, it suggests a DNN. I tell it to go ahead and add GPU support while its at it.
In a short period of time, I have an app that is processing video, doing all of the detection, applying the correct models, and works.
It's impressive _to me_ but it's not lost on me that all of the hard parts were done by someone else. Someone wrote the video library, someone wrote the easy python video parsers, someone trained and supplied the neural networks, someone did the hard work of writing a CUDA/GPU support library that 'just works'.
I get to slap this all together.
In some ways, that's the essence of software engineering. Building on the infinite layers of abstractions built by others.
In other ways, it doesn't feel earned. It feels hollow in some way and demoing or sharing that code feels equally hollow. "Look at this thing that I had AI copy-paste together!"
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Idk.
I saw this come out because my boss linked it as a faster chart lib. It is ai slop but people loved it. [https://news.ycombinator.com/item?id=46706528]
I knew i could do better so i made a version that is about 15kb and solves a fundamental issue with web gl context limits while being significantly faster.
AI helped do alot of code esp around the compute shaders. However, i had the idea of how to solve the context limits. I also pushed past several perf bottlenecks that were from my fundamental lack of webgpu knowledge and in the process deepened my understanding of it. Pushing the bundle size down also stretched my understanding of js build ecosystems and why web workers still are not more common (special bundler setting for workers breaks often)
Btw my version is on npm/github as chartai. You tell me if that is ai slop. I dont think it is but i could be wrong
To me, part of what makes it feel hollow is that if we were to ask you about any of those layers, and why they were chosen or how they worked, you probably would stumble through an answer.
And for something that is, as you said, impressive to you, that's fine! But the spirit of Show HN is that there was some friction involved, some learning process that you went through, that resulted in the GitHub link at the top.