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.
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.