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randusername 12 hours ago [-]
I'm starting to notice AI power users communicating in a shorthand tech-speak I find unintelligible. I genuinely cannot follow the individual points in this article or what the overall arc is.
Is this something that was already part of web dev or is it new?
SyneRyder 6 hours ago [-]
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.
Bruh, there's 3 paragraphs I got info from the codebase using AI, the bullet points and the insights section
Everything else was written by hand and I made sure to not use AI even for structure (which I usually do)
It's settled. Either I use AI or not people will always say the same thing
sdcfgy 11 hours ago [-]
I find wine helps. Lots of wine.
bakugo 11 hours ago [-]
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.
Ampersander 11 hours ago [-]
Doing drugs sounds both more rewarding and productive.
jononor 8 hours ago [-]
Might even be cheaper!
RomanKornev 4 hours ago [-]
> 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
nharziro 11 hours ago [-]
I didn't find her article hard to understand. Maybe you have a reading comprehension issue?
luc_ 12 hours ago [-]
Seems more like AI-in-the-loop more than AI-native.
I feel like this post didn't teach me anything I didn't already know or have an intuition about.
fagnerbrack 12 hours ago [-]
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).
ofjcihen 12 hours ago [-]
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.
hollowturtle 11 hours ago [-]
Looking for a job? This sounds like personal marketing speech rather than a blog worth reading, no new insights no nothing
monegator 11 hours ago [-]
no shit, it's some medium backed shit website.
Wish i could filter ALL of these, not just those with the medium website
nitwit005 8 hours ago [-]
> 99.9% uptime (CloudWatch, Feb to Sep, insert your real number)
Did we forget to insert the real number?
dieselgate 8 hours ago [-]
I read the article and it sounds kinda-sorta good at face value but the more I read and look into readplace.com the less things make sense and the more "ick" grows. Oh well just a puff piece... It's a big pet peeve of mine when someone uses a "CEO" title where it's probably very likely there's no Board or any other officers (or is a side project).
Author comes off as diligent, intelligent and dedicated... but might gain some credibility by having real humans read and proof the copy.
YuechenLi 5 hours ago [-]
Well, what I found "AI native software" to be is "usable heedlessly via scripts/CLI with UI being optional", because that's how LLM agents naturally interact with software.
Also, I'm really not sure this bookmark project/website/extension would require 6 months of Claude with 6 of them running continuously to build.
NichoPaolucci 7 hours ago [-]
Does this implementation really require this robust of infra / setup?
The entire stack feels overkill for a repo that has 2 followers and 29 stars.
I also am probably not the target demographic though, I just download things that I want to preserve and completely forget about them in a folder called 0_archive.
I just feel like in 2013 some fella would have had this project running on an old laptop in his garage hooked up to FTP and the uptime would be comparable.
I also love when AI adds tidbits like this:
> and staging has to pass before prod deploys.
Thanks for the clarity on that, Claude, you read my mind.
fagnerbrack 36 minutes ago [-]
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
mikert89 12 hours ago [-]
Ai native is only a term for the present moment. There is still skill in using ai. We are fast approaching where you ask the ai, and it does the task, there is no wrangling it
dkobia 11 hours ago [-]
13,000 tests. That tells you everything you need to know. It doesn't matter how experienced you say you are, if AI is doing all the work including writing and running tests because I know no human is actually reviewing these. I've recently found tests written by Fable that don't actually do anything in a very large codebase. My point is not to advocate for doing any of this manually, but to highlight one of the problems brought about by pumping out so much code.
I hate to sound cynical, but I don't know if bragging about being AI-native is something any of us should be doing. We're really just pulling a lever on a slot machine and crossing our fingers.
_ink_ 8 hours ago [-]
> I've recently found tests written by Fable that don't actually do anything in a very large codebase.
tbf, I've seen these kind of tests as well at $dayjob, written by humans before gpt was a thing. That doesn't invalid your point. But it's still funny that we expect the machine to be perfect, before it can do something for us.
krapp 5 hours ago [-]
>But it's still funny that we expect the machine to be perfect, before it can do something for us.
We expect machines to be perfect at the things they should be perfect at, and when they aren't perfect we consider that a malfunction and try to make them closer to perfect. A calculator that can't do math correctly every time is a bad calculator. And until LLMs came along computers were just complicated calculators.
Now, however, we build the calculator with an LLM and just accept that it sometimes gets confuzzled and makes numbers up because "humans are no better at math."
It's not funny, it's the way things used to work and it's objectively worse that things can't work that way anymore.
fagnerbrack 9 hours ago [-]
You need to ensure the whole system is optimised for LLM. Getting human written code and trying to run like this will be a failure since you'll be missing essential guidelines particularly on the domain-specific design fundamentals that are acquired in the beginning in a human feedback loop before the automation really kicks in
mijoharas 11 hours ago [-]
Getting a 502 error. I had to come to the comments to check whether that was the joke.
ashg10297 12 hours ago [-]
So what does it look like? This is a load of booster talk tuned to reel in the devs who appreciate *****.
Is this something that was already part of web dev or is it new?
"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.
Everything else was written by hand and I made sure to not use AI even for structure (which I usually do)
It's settled. Either I use AI or not people will always say the same thing
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.
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 feel like this post didn't teach me anything I didn't already know or have an intuition about.
Essentially the tests are just for the AI to remember what they did (as in the description + break if they change smth unintentionally).
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.
Wish i could filter ALL of these, not just those with the medium website
Did we forget to insert the real number?
Author comes off as diligent, intelligent and dedicated... but might gain some credibility by having real humans read and proof the copy.
Also, I'm really not sure this bookmark project/website/extension would require 6 months of Claude with 6 of them running continuously to build.
The entire stack feels overkill for a repo that has 2 followers and 29 stars.
I also am probably not the target demographic though, I just download things that I want to preserve and completely forget about them in a folder called 0_archive.
I just feel like in 2013 some fella would have had this project running on an old laptop in his garage hooked up to FTP and the uptime would be comparable.
I also love when AI adds tidbits like this:
> and staging has to pass before prod deploys.
Thanks for the clarity on that, Claude, you read my mind.
Maybe most devs are not interested in how to build stable infra and just vibe code
I hate to sound cynical, but I don't know if bragging about being AI-native is something any of us should be doing. We're really just pulling a lever on a slot machine and crossing our fingers.
tbf, I've seen these kind of tests as well at $dayjob, written by humans before gpt was a thing. That doesn't invalid your point. But it's still funny that we expect the machine to be perfect, before it can do something for us.
We expect machines to be perfect at the things they should be perfect at, and when they aren't perfect we consider that a malfunction and try to make them closer to perfect. A calculator that can't do math correctly every time is a bad calculator. And until LLMs came along computers were just complicated calculators.
Now, however, we build the calculator with an LLM and just accept that it sometimes gets confuzzled and makes numbers up because "humans are no better at math."
It's not funny, it's the way things used to work and it's objectively worse that things can't work that way anymore.