I regard myself as pro-AI, and I find this article is all over the place. It's just trying to promote their SaaS. It's clear they didn't even read what the LLM generated before posting it, as evidenced by this line:

"99.9% uptime (CloudWatch, Feb to Sep, insert your real number)"

This user also appears to have a Reddit account from 3 years ago where they claim to be a half human cyborg.

https://www.reddit.com/user/fagnerbrack/comments/195jgst/faq...

I think that's all I need to know, personally.

It's not the users doing the communication, it's their AIs.

And you, as a human, were not meant to read it - you're supposed to instead feed it back into your own AI agent and have it create a groundbreaking new AI startup based on it. Give it your Cloudflare credentials, sit back, sip a latte, and within an hour or two you'll have a beautiful, fully functional website, complete with fancy fonts, 30 different "No X. No Y. Just Z" taglines, and a $20 monthly subscription, ready to show off to investors. You'll be a highly successful entrepreneur by the end of the week.

I find wine helps. Lots of wine.

> I genuinely cannot follow the individual points in this article or what the overall arc is.

It's just slop. Acknowledge, move on, and find something better to spend your time on.

We're in a weird uncanny valley state of AI writing where it's barely comprehensible, but makes people feel productive so they shove it everywhere, including where it's not needed.

At some point, either:

1. People will realize that this is a waste of time

2. Models will get better and this will be remembered as a blip in history

I think people are making skills to have AI generate text that sounds like them but AI--especially Claude--has a hard time not sounding like AI.

I think that’s because across experience levels there really isn’t much to teach regarding “how to use AI”.

The only grind is still just do you know the subject matter, tools and frameworks, etc. because that’s the knowledge that lets you look at the output and say “this is fine” or “this is absolutely the worst implementation I’ve ever seen try again but do X”.

In my experience adding on multiple layers of controls etc aside from basic skills is essentially as useful as a ring of salt and a live offering.

My workflow these days is basically ultracode + PRs. I do control the features that go but barely need to check the code due to the amount of checks: lint, TS, Local AI visual Model for visual check for screen frame comparison (Mac M5 48GB mem), Pixel/Screenshot regression test for basic UI, code coverage/c8 to avoid trash code without tests, etc. etc.

Essentially the tests are just for the AI to remember what they did (as in the description + break if they change smth unintentionally).

no shit, it's some medium backed shit website.

Wish i could filter ALL of these, not just those with the medium website

Text is human written. The repository popularity shows dev interest not product usage, if this was closed source it would have been 0 stars and 0 followers.

Maybe most devs are not interested in how to build stable infra and just vibe code

I don't think so. I have lieer + notmuch setup with a few AI generated Python scripts that will mark things as read. It also took about 5 minutes of fiddling with notmuch cli and jq to extract SNS message bodies from emails (for instance).

I think a thin layer on notmuch would get you pretty close without so much infrastructure.

On the web scraping side, scrapling seems to pretty much just work. There hasn't been a website yet it won't load in some mode--even Google SERP.