I get exhausted very quickly reading stuff about AI by people who think there is some secret language of prompts or some better model or better framework which will make them successful at developing things.
I'm left with the same feeling I have when I read blogs by celebrity managers and developers like DHH or Spolsky or Graham or Atwood or Yegge, they talk as if you could learn something transferable from their experiences except... you can't. Their opinions about spaces or tabs or whether you should use static or dynamic languages are as good as anybody else's but not better!
The difference is that those guys actually made something and sold it, whereas the vibe coder almost made something.
People who make something significant with AI are going to do it because of all the others skills and attributes they have: good taste, domain knowledge, modeling, knowing what good code looks like, knowing what good user interfaces feel like, etc.
That's why I am not doomscrolling X to see what celebrity vibe coders say they are doing right now.
By that logic why is anyone here on HN? What good is reading about anyone else's experiences, they are as good as anyone else's but not better.
I still tend to go by the advice I read when I was just out of school: If you want to be successful, find someone who is successful, and do what they do.
I think posts like
https://spencer.wtf/2026/02/20/cleaning-up-merged-git-branch...
https://www.justinmklam.com/posts/2026/02/beginners-guide-sp...
https://www.caimito.net/en/blog/2026/02/17/web-components-th...
https://learn.pimoroni.com/article/overclocking-the-pico-2
are about reproducible results and are written by people who know what they are talking about and are situated in a frame which doesn't distort their value.
A report on AI coding is usually like a report on what happened when you spent an evening playing the slots -- it's not at all reproducible, half of it is that raw luck (you win some you lose some) and the other half is that "dark matter" of skill and taste which of course is captured in your prompts, particularly as you feed back to that randomness. I can scan those other articles and quickly pick up something cool, "vibe coding" reports just exhaust me.
Past that are all the posts where people who don't know what they are talking about make big pronouncements about what it all means or how it will go and even if they are the likes of Ezra Klein or Scott Alexander it noise and not signal. You could throw a high-signal article into this arena and people wouldn't recognize it for all the noise.
So yeah, I go to the /new page quite often and find there are 22 articles about AI (probably 20 are noise) and 8 articles that aren't about AI and I will upvote the 8 even if some of them are noise, at least they are noise about something that's not AI.