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I took a web dev boot camp. If I were to use AI I would use it as a tool and not the motherfucking builder! AI gets even basic math equations wrong!
Holy crap, it’s real!
That is the future of AI written code: Broken beyond comprehension.
Ooh is that job security I hear???
This feels like the modern version of those people who gave out the numbers on their credit cards back in the 2000s and would freak out when their bank accounts got drained.
taste of his own medicine
But what site is he talking about?
I hope this is satire 😭
Yes, yes there are weird people out there. That’s the whole point of having humans able to understand the code be able to correct it.
Chatgpt make this code secure against weird people trying to crash and exploit it ot
beep boop
fixed 3 bugs
added 2 known vulnerabilities
added 3 race conditions
boop beebRoger Roger
Eat my SaaS
Ha, you fools still pay for doors and locks? My house is now 100% done with fake locks and doors, they are so much lighter and easier to install.
Wait! why am I always getting robbed lately, it can not be my fake locks and doors! It has to be weirdos online following what I do.
To be fair, it’s both.
The fact that “AI” hallucinates so extensively and gratuitously just means that the only way it can benefit software development is as a gaggle of coked-up juniors making a senior incapable of working on their own stuff because they’re constantly in janitorial mode.
Plenty of good programmers use AI extensively while working. Me included.
Mostly as an advance autocomplete, template builder or documentation parser.
You obviously need to be good at it so you can see at a glance if the written code is good or if it’s bullshit. But if you are good it can really speed things up without any risk as you will only copy cody that you know is good and discard the bullshit.
Obviously you cannot develop without programming knowledge, but with programming knowledge is just another tool.
I maintain strong conviction that if a good programmer uses llm in their work, they just add more work for themselves, and if less than good one does it, they add new exciting and difficult to find bugs, while maintaining false confidence in their code and themselves.
I have seen so much code that looks good on first, second, and third glance, but actually is full of shit, and I was able to find that shit by doing external validation like talking to the dev or brainstorming the ways to test it, the things you categorically cannot do with unreliable random words generator.That’s why you use unit test and integration test.
I can write bad code myself or copy bad code from who-knows where. It’s not something introduced by LLM.
Remember famous Linus letter? “You code this function without understanding it and thus you code is shit”.
As I said, just a tool like many other before it.
I use it as a regular practice while coding. And to be true, reading my code after that I could not distinguish what parts where LLM and what parts I wrote fully by myself, and, to be honest, I don’t think anyone would be able to tell the difference.
It would probably a nice idea to do some kind of turing test, a put a blind test to distinguish the AI written part of some code, and see how precisely people can tell it apart.
I may come back with a particular piece of code that I specifically remember to be an output from deepseek, and probably withing the whole context it would be indistinguishable.
Also, not all LLM usage is for copying from it. Many times you copy to it and ask the thing yo explain it to you, or ask general questions. For instance, to seek for specific functions in C# extensive libraries.
So no change to how it was before then
Different shit, same smell
Depending on what it is you’re trying to make, it can actually be helpful as one of many components to help get your feet wet. The same way modding games can be a path to learning a lot by fiddling with something that’s complete, getting suggestions from an LLM that’s been trained on a bunch of relevant tutorials can give you enough context to get started. It will definitely hallucinate, and figuring out when it’s full of shit is part of the exercise.
It’s like mid-way between rote following tutorials, modding, and asking for help in support channels. It isn’t as rigid as the available tutorials, and though it’s prone to hallucination and not as knowledgeable as support channel regulars, it’s also a lot more patient in many cases and doesn’t have its own life that it needs to go live.
Decent learning tool if you’re ready to check what it’s doing step by step, look for inefficiencies and mistakes, and not blindly believe everything it says. Just copying and pasting while learning nothing and assuming it’ll work, though? That’s not going to go well at all.
It’ll just keep better at it over time though. The current ai is way better than 5 years ago and in 5 years it’ll be way better than now.
My hobby: extrapolating.
Past performance does not guarantee future results
To get better it would need better training data. However there are always more junior devs creating bad training data, than senior devs who create slightly better training data.
And now LLMs being trained on data generated by LLMs. No possible way that could go wrong.
That’s certainly one theory, but as we are largely out of training data there’s not much new material to feed in for refinement. Using AI output to train future AI is just going to amplify the existing problems.
Just generate the training material, duh.
DeepSeek
This is certainly the pattern that is actively emerging.
I mean, the proof is sitting there wearing your clothes. General intelligence exists all around us. If it can exist naturally, we can eventually do it through technology. Maybe there needs to be more breakthroughs before it happens.
Everything possible in theory. Doesn’t mean everything happened or just about to happen
“more breakthroughs” spoken like we get these once everyday like milk delivery.
I mean - have you followed AI news? This whole thing kicked off maybe three years ago, and now local models can render video and do half-decent reasoning.
None of it’s perfect, but a lot of it’s fuckin’ spooky, and any form of “well it can’t do [blank]” has a half-life.
If you follow AI news you should know that it’s basically out of training data, that extra training is inversely exponential and so extra training data would only have limited impact anyway, that companies are starting to train AI on AI generated data -both intentionally and unintentionally, and that hallucinations and unreliability are baked-in to the technology.
You also shouldn’t take improvements at face value. The latest chatGPT is better than the previous version, for sure. But its achievements are exaggerated (for example, it already knew the answers ahead of time for the specific maths questions that it was denoted answering, and isn’t better than before or other LLMs at solving maths problems that it doesn’t have the answers already hardcoded), and the way it operates is to have a second LLM check its outputs. Which means it takes,IIRC, 4-5 times the energy (and therefore cost) for each answer, for a marginal improvement of functionality.
The idea that “they’ve come on in leaps and bounds over the Last 3 years therefore they will continue to improve at that rate isn’t really supported by the evidence.
Seen a few YouTube channels now that just print out AI generated content. Usually audio only with a generated picture on screen. Vast amounts could be made so cheaply like that, Google is going to have fun storing all that when each only gets like 25 views. I think at some point they are going to have to delete stuff.
Dipshits going “I made this!” is not indicative of what this makes possible.
That’s your interpretation.
Hilarious and true.
last week some new up and coming coder was showing me their tons and tons of sites made with the help of chatGPT. They all look great on the front end. So I tried to use one. Error. Tried to use another. Error. Mentioned the errors and they brushed it off. I am 99% sure they do not have the coding experience to fix the errors. I politely disconnected from them at that point.
What’s worse is when a noncoder asks me, a coder, to look over and fix their ai generated code. My response is “no, but if you set aside an hour I will teach you how HTML works so you can fix it yourself.” Never has one of these kids asking ai to code things accepted which, to me, means they aren’t worth my time. Don’t let them use you like that. You aren’t another tool they can combine with ai to generate things correctly without having to learn things themselves.
100% this. I’ve gotten to where when people try and rope me into their new million dollar app idea I tell them that there are fantastic resources online to teach yourself to do everything they need. I offer to help them find those resources and even help when they get stuck. I’ve probably done this dozens of times by now. No bites yet. All those millions wasted…
I’ve been a professional full stack dev for 15 years and dabbled for years before that - I can absolutely code and know what I’m doing (and have used cursor and just deleted most of what it made for me when I let it run)
But my frontends have never looked better.
This is what happens when you don’t know what your own code does, you lose the ability to manage it, that is precisely why AI won’t take programmer’s jobs.
I don’t need ai to not know what my code does
but with AI you can not know even faster. So efficient
You are even freeing up the space that was needed to comprehend and critically think
More space to keep up with the latest brainrot
Bonus points if the attackers use ai to script their attacks, too. We can fully automate the SaaS cycle!
That is the real dead Internet theory: everything from production to malicious actors to end users are all ai scripts wasting electricity and hardware resources for the benefit of no human.
That would only happen if we give power to our ai assistants to buy things on our behalf, and manage our budgets. They will decide among themselves who needs what and the money will flow to billionaires pockets without any human intervention. If humans go far enough, not even rich people would be rich, as trust funds, stock portfolios would operate under ai. If the ai achieves singularity with that level of control, we are all basically in spectator mode.
Seems like a fitting end to the internet, imo. Or the recipe for the Singularity.
I am not a bot trust me.
Not only internet. Soon everybody will use AI for everything. Lawyers will use AI in court on both sides. AI will fight against AI.
I was at a coffee shop the other day and 2 lawyers were discussing how they were doing stuff with ai that they didn’t know anything about and then just send to their clients.
That shit scared the hell out of me.
And everything will just keep getting worse with more and more common folk eating the hype and brainwash using these highly incorrect tools in all levels of our society everyday to make decisions about things they have no idea about.
I’m aware of an effort to get LLM AI to summarize medical reports for doctors.
Very disturbing.
The people driving it where I work tend to be the people who know the least about how computers work.
they’ll find a use case any day now for realsies.
It was a time of desolation, chaos, and uncertainty. Brother pitted against brother. Babies having babies.
Then one day, from the right side of the screen, came a man. A man with a plastic rectangle.
lol thanks
This is the opposite of the singularity
It is a singularity, in the sense that it is an infinitely escalating level of suck.
Suckularity?
I never said it was going to be any good!
The Internet will continue to function just fine, just as it has for 50 years. It’s the World Wide Web that is on fire. Pretty much has been since a bunch of people who don’t understand what Web 2.0 means decided they were going to start doing “Web 3.0” stuff.
The Internet will continue to function just fine, just as it has for 50 years.
Sounds of intercontinental data cables being sliced
Someone really should’ve replied with
My attack was built with Curson
This is satire / trolling for sure.
LLMs aren’t really at the point where they can spit out an entire program, including handling deployment, environments, etc. without human intervention.
If this person is ‘not technical’ they wouldn’t have been able to successfully deploy and interconnect all of the pieces needed.
The AI may have been able to spit out snippets, and those snippets may be very useful, but where it stands, it’s just not going to be able to, with no human supervision/overrides, write the software, stand up the DB, and deploy all of the services needed. With human guidance sure, but with out someone holding the AIs hand it just won’t happen (remember this person is ‘not technical’)
My impression is that with some guidance it can put together a basic skeleton of complex stuff too. But you need a specialist level of knowledge to fix the fail at compile level mistakes or worse yet mistakes that compile but don’t at all achieve the intended result. To me it has been most useful at getting the correct arguments for argument heavy libraries like plotly, remembering how to do stuff in bash or learning something from scratch like 3js. Soon as you try to do something more complex than it can handle, it confidently starts cycling through the same couple of mistakes over and over. The key words it spews in those mistakes can sometimes be helpful to direct your search online though.
So it has the potential to be helpful to a programmer but it cant yet replace programmers as tech bros like to fantasize about.
idk ive seen some crazy complicated stuff woven together by people who cant code. I’ve got a friend who has no job and is trying to make a living off coding while, for 15+ years being totally unable to learn coding. Some of the things they make are surprisingly complex. Tho also, and the person mentioned here may do similarly, they don’t ONLY use ai. They use Github alot too. They make nearly nothing themself, but go thru github and basically combine large chunks of code others have made with ai generated code. Somehow they do it well enough to have done things with servers, cryptocurrency, etc… all the while not knowing any coding language.
That reminds me of this comic strip…
Claude code can make something that works, but it’s kinda over engineered and really struggles to make an elegant solution that maximises code reuse - it’s the opposite of DRY.
I’m doing a personal project at the moment and used it for a few days, made good progress but it got to the point where it was just a spaghetti mess of jumbled code, and I deleted it and went back to implementing each component one at a time and then wiring them together manually.
My current workflow is basically never let them work on more than one file at a time, and build the app one component at a time, starting at the ground level and then working in, so for example:
Create base classes that things will extend, Then create an example data model class, iterate on that architecture A LOT until it’s really elegant.
Then Ive been getting it to write me a generator - not the actual code for models,
Then (level 3) we start with be UI.layer, so now we make a UI kit the app will use and reuse for different components
Then we make a UI component that will be used in a screen. I’m using flutter as an example so It would be a stateless component
We now write tests for the component
Now we do a screen, and I import each of the components.
It’s still very manual, but it’s getting better. You are still going to need a human cider, I think forever, but there are two big problems that aren’t being addressed because people are just putting their head in the sand and saying nah can’t do it, or the clown op in the post who thinks they can do it.
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Because dogs be clownin, the public perception of programming as a career will be devalued “I’ll just make it myself!” Or like my rich engineer uncle said to me when I was doing websites professionally - a 13 year old can just make a website, why would I pay you so much to do it. THAT FUCKING SUCKS. But a similar attitude has existed from people “I’ll just hire Indians”. This is bullshit, but perception is important and it’s going to require you to justify yourself for a lot more work.
-
And this is the flip side good news. These skills you have developed - it’s is going to be SO MUCH FUCKING HARDER TO LEARN THEM. When you can just say “hey generate me an app that manages customers and follow ups” and something gets spat out, you aren’t going to investigate the grind required to work out basic shit. People will simply not get to the same level they are now.
That logic about how to scaffold and architect an app in a sensible way - USING AI TOOLS - is actually the new skillset. You need to know how to build the app, and then how to efficiently and effectively use the new tools to actually construct it. Then you need to be able to do code review for each change.
</rant>
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Mmmmmm no, Claude definitely is. You have to know what to ask it, but I generated and entire deadman’s switch daemon written in go in like an hour with it, to see if I could.
So you did one simple program.
SaaS involves a suite of tooling and software, not just a program that you build locally.
You need at a minimum, database deployments (with scaling and redundancy) and cloud software deployments (with scaling and redundancy)
SaaS is a full stack product, not a widget you run on your local machine. You would need to deputize the AI to log into your AWS (sorry, it would need to create your AWS account) and fully provision your cloud infrastructure.
Lol they don’t need scaling and redundancy to work. They just need scaling and redundancy to avoid being sued into oblivion when they lose all their customer data.
As a full time AI hater, I fully believe that some code-specialized AI can write and maybe even deploy a full stack program, with basic input forms and CRUD, which is all you need to be a “saas”.
It’s gonna suck, and be unmaintainable, and insecure, and fragile. But I bet it could do it and it’d work for a little while.
That’s not “working saas” tho.
Its like calling hello world a “production ready CLI application”.
Mmmmmmmmmmmmm no
It’s further than you think. I spoke to someone today about and he told me it produced a basic SaaS app for him. He said that it looked surprisingly okay and the basic functionalities actually worked too. He did note that it kept using deprecated code, consistently made a few basic mistakes despite being told how to avoid it, and failed to produce nontrivial functionalies.
He did say that it used very common libraries and we hypothesized that it functioned well because a lot of relevant code could be found on GitHub and that it might function significantly worse when encountering less popular frameworks.
Still it’s quite impressive, although not surprising considering it was a matter of time before people would start to feed the feedback of an IDE back into it.
Did it provision a scalable infrastructure? Because that’s the aaS part of SaaS.
I assume not, but we didn’t discuss that
We just built and deployed a fully functional AWS app for our team entirely written in AI. From the terraform, to the backing API, to the frontend Angular. All AI. I think AI is further along here than you suspect.
I’m skeptical. You are saying that your team has no hand in the provisioning and you deputized an AI with AWS keys and just let it run wild?
How? We try to adopt AI for dev work for years now and every time the next gen tool or model gets released it fails spectacularly at basic things. And that’s just the technical stuff, I still have no idea on how to tell it do implement our use cases as it simply does not understand the domain.
It is great at building things other have already built and it could train on but we don’t really have a use case for that.
Might be satire, but I think some “products based on LLMs” (not LLMs alone) would be able to. There’s pretty impressive demos out there, but honestly haven’t tried them myself.
