this post was submitted on 19 Aug 2025
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As a software developer, I've found some free LLMs to provide productivity boosts. It is a fairly hairpulling experience to not try too hard to get a bad LLM to correct itself, and learning to switch quickly from bad LLMs is a key skill in using them. A good model is still one that you can fix their broken code, and ask them to understand why what you provided them fixes it. They need a long context window to not repeat their mistakes. Qwen 3 is very good at this. Open source also means a future of customizing to domain, ie. language specific, optimizations, and privacy trust/unlimited use with enough local RAM, with some confidence that AI is working for you rather than data collecting for others. Claude Sonnet 4 is stronger, but limited free access.
The permanent side of high market cap US AI industry is that it will always be a vector for NSA/fascism empire supremacy, and Skynet goal, in addition to potentially stealing your input/output streams. The future for users who need to opt out of these threats, is local inference, and open source that can be customized to domains important to users/organizations. Open models are already at close parity, IMO from my investigations, and, relatively low hanging fruit, customization a certain path to exceeding parity for most applications.
No LLM can be trusted to allow you do to something you have no expertise in. This state will remain an optimistic future for longer than you hope.
I think the key to good LLM usage is a light touch. Let the LLM know what you want, maybe refine it if you see where the result went wrong. But if you find yourself deep in conversation trying to explain to the LLM why it's not getting your idea, you're going to wind up with a bad product. Just abandon it and try to do the thing yourself or get someone who knows what you want.
They get confused easily, and despite what is being pitched, they don't really learn very well. So if they get something wrong the first time they aren't going to figure it out after another hour or two.
In my experience, they're better at poking holes in code than writing it, whether that's green or brownfield.
I've tried to get it to make sections of changes for me, and it feels very productive, but when I time myself I find I spend probably more time correcting the LLM's work than if I'd just written it myself.
But if you ask it to judge a refactor, then you might actually get one or two good points. You just have to really be careful to double check its assertions if you're unfamiliar with anything, because it will lead you to some real boners if you just follow it blindly.
At work we've got coderabbit set up on our github and it has found bugs that I wrote. Sometimes the thing drives me insane with pointless comments, but just today found a spot that would have been a big bug in prod in like 3 months.
But if you find yourself deep in conversation trying to explain to the LLM why it’s not getting your idea, you’re going to wind up with a bad product.
Yes. Kind of. It takes ( a couple of days) experience with LLMs to know that failing to understand your corrections means immediate delete and try another LLM. The only OpenAI llm I tried was their 120g open source release. It insisted that it was correct in its stupidity. That's worse than LLMs that forget the corrections from 3 prompts ago, though I also learned that is also grounds for delete over any hope for their usefulness.
It is not useless. You should absolutely continue to vibes code. Don't let a professional get involved at the ground floor. Don't inhouse a professional staff.
Please continue paying me $200/hr for months on end debugging your Baby's First Web App tier coding project long after anyone else can salvage it.
And don't forget to tell your investors how smart you are by Vibes Coding! That's the most important part. Secure! That! Series! B! Go public! Get yourself a billion dollar valuation on these projects!
Keep me in the good wine and the nice car! I love vibes coding.
Not me, I'd rather work on a clean code base without any slop, even if it pays a little less. QoL > TC
I'm not above slinging a little spaghetti if it pays the bills.
I'm sure it's fun to see a series of text prompts turn into an app, but if you don't understand the code and can't fix it when it doesn't work without starting over, you're going to have a bad time. Sure, it takes time and effort to learn to program, but it pays off in the end.
Clearly satire
It's kind of hard for me to tell on this one. Maybe the boomer lead is seeping into my brain.
Nah, it's the microplastics.
Microplastics are stored in the balls.
Why not both ™?
With a pinch of PFAS for good measure?
So there are multiple people in this thread who state their job is to unfuck what the LLMs are doing. I have a family member who graduated in CS a year ago and is having a hell of a time finding work, how would he go about getting one of these "clean up after the model" jobs?
Has he tried being a senior developer? He should really try being a senior developer.
He needs at least a decade of industry experience. That helps me find jobs.
It would be nice if software development were a real profession and people could get that experience properly.
No idea, but I am not sure your family member is qualified. I would estimate that a coding LLM can code as well as a fresh CS grad. The big advantage that fresh grads have is that after you give them a piece of advice once or twice, they stop making that same mistake.
Where is this coming from? I don't think an LLM can code at the level of a recent cs grad unless it's piloted by a cs grad.
Maybe you've had much better luck than me, but coding LLMs seem largely useless without prior coding knowledge.
What's this based on? Have you met a fresh CS graduate and compared them to an LLM? Does it not vary person to person? Or fuck it, LLM to LLM? Calling them not qualified seems harsh when it's based on sod all.
It makes me so mad that there are CS grads who can't find work at the same time as companies are exploiting the H1B process saying "there aren't enough applicants". When are these companies going to be held accountable?
Never, they donate to get the politicians reelected.
This is in no way new. 20 years ago I used to refer to some job postings as H1Bait because they'd have requirements that were physically impossible (like having 5 years experience with a piece of software <2 years old) specifically so they could claim they couldn't find anyone qualified (because anyone claiming to be qualified was definitely lying) to justify an H1B for which they would be suddenly way less thorough about checking qualifications.
Yeah companies have always been abusing H1B, but it seems like only recently is it so hard for CS grads to find jobs. I didn't have much trouble in 2010 and it was easy to hop jobs for me the last 10 years.
Now, not so much.
After they fill up on H1B workers and find out that only 1/10 is a good investment.
H1B development work has been a thing for decades, but there's a reason why there are still high-paying development jobs in the US.
The difficult part is going to be that new engineers are not generally who people think about to unfuck code. Even before the LLMs junior engineers are generally the people that fuck things up.
It’s through fucking lots of stuff up and unfucking that stuff up and learning how not to fuck things up in the first place that you go from being a junior engineer to a more senior engineer. Until you land in a lofty position like staff engineer and your job is mostly to listen to how people want to fuck everything up and go “maybe let’s try this other way that won’t fuck everything up instead”
Tell your family member to network, that’s the best way to get a job. There are discord servers for every programming language and most projects. Contribute to open source projects and get to know the people.
Build things, write code, open source it on GitHub.
Drill on leet code questions, they aren’t super useful, but in any interview at least part of the assessment is going to be how well they can do on those.
There are still plenty of places hiring. AI has just made it so that most senior engineers have access to a junior engineer level programmer that they can give tasks to at all time, the AI. So anything you can do to stand out is an advantage.
Answer is probably the same as before AI: build a portfolio on GitHub. These days maybe try to find repos that have vibe code in them and make commits that fix the AI garbage.
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My path was working for a consulting firm (Accenture) for a few years, making friends with my clients, and then jumping to freelance work a few years later when I can get paid my contract rate directly rather than letting Accenture take a big chunk of it.
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God bless vibe coders, because of them I'm buying a new PC build this week AND I've decided to get a PS5.
Thank you Vibe Coders, your laziness and and sheer idiocy are padding my wallet nicely.
But I thought armies of teenagers were starting tech businesses?!
My boss is literally convinced we can now basically make programs that take rockets to mars, and that it's literally clicks away. For the life of me, it is impossible to convince him that this is, in fact, not the case. Whoever fired developers because 'AI could do it' is going to regret it.
Maybe try convincing him in terms he would understand. If it was really that good, it wouldn't be public. They'd just use it internally to replace every proprietary piece of software in existence. They'd be shitting out their own browser, office suite, CAD, OS, etc. Microsoft would be screwing themselves by making chatgpt public. Microsoft could replace all the Adobe products and drive them out of business tomorrow.
Yea, it's that lack of critical thinking that is the reason why MLMs, and get rich quick courses still exist
I mean ... the first moon landings took a very low number of clicks to make the calculations, technically speaking
Lots of clacks, though.
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