Ironically, that comment was added three months after I posted the article, when it was nowhere near the front page anymore, in a clearly automated and AI-driven review.
Still salty about it.
I generally fire-and-forget on Reddit, except for more niche communities where sometimes domain experts actually comment
I gave it all up when Reddit started recycling my old accounts and reposting my content as if it were new -- but not authored by me, just regurgitated back onto the site.
If that happened to me, you can bet it's happening en masse. Which indicates to me that the site is really dead.
AI programming is fundamentally different from programming and as such the discussions merit to have separate forums.
If r/programming wants to be the one solely focusing on programming then power to them. Discussing both in combination also makes sense, but the value of reddit is having a subreddit for anything and “just programming” should be on the list.
It's really not. Maybe vibecoding, in its original definition (not looking at generated code) is fundamentally different. But most people are not vibe coding outside of pet projects, at least yet.
Even putting aside the AI engineering part where you use a model as a brick in your program.
Classic programming is based on assumption that there is a formal strict input language. When programming I think in that language, I hold the data structures and connections in my head. When debugging I have intuition on what is going on because I know how the code works.
When working on somebody else’s code base I bisect, I try to find the abstractions.
When coding with AI this does not happen. I can check the code it outputs but the speed and quantity does not permit the same level of understanding unless I eschew all benefits of using AI.
When coding with AI I think about the context, the spec, the general shape of the code. When the code doesn’t build or crashes the first reflex is not to look at the code. It’s prompting AI to figure it out.
Major corporations have had outages thanks to AI slop code. Lol the idea that people aren't vibe coding outside of pet projects is hilarious.
That genie's not going back into the lamp.
(Heck, I've leaned on LLMs to generate damned SwiftUI code for me.)
And, arguably, still useful to all.
If you are implying that programmers who hand code are going the way of carpenters using hand tools, I think I can agree.
I personally can’t wait for no-ai communities to proliferate.
You are basically asking for a brain drain in a field that—like it or not—is going to be crucial in the future in spite of its obvious warts and poor implementation in the present. If that's what you want, be my guest and encourage it; but who's authorized to unilaterally make that decision in a given forum?
In the present case, the moderators for r/programming are. But they're making a mistake by marginalizing the technology that's redefining the practice because people talk about it too much instead of thinking about how to effectively talk about it and then steering the community in that direction.
But that's a full-time job. Which is why I think HN may turn out alright in the long run or a similar community will replace it if it fails to temper the change in the industry.
What this decisions signals to me is that r/programming has been inert for some time. I'm sure plenty of programmers, irrespective of their position on AI, probably find the community rejoicing in their resignation to the technologies influence as their cue to finally exit.
But "there can't be any interesting discussion about AI programming" is completely false.
Yeah, that's silly, it is already the present!
Some interesting conversation one can have with coworkers specifically:
1. How should code review and responsibility for code be updated to a) increase velocity, b) keep quality and c) keep reviewers from burnout. There are plenty scenarios in which vibe coding a component in an afternoon is the correct choice, even if it is buggy, insecure, and no one really understands it.
2. Which parts of the codebase work well with code assistants, which don't? Why? What could be changed to make it easier? In my experience, Claude Code sometimes loses its mind on infra topics. It is also not very good at complex, interconnected services (humans aren't either).
3. Which tasks could be offloaded to agents to save everyone time and sanity? - Creatig Jira Tickets from meeting transcripts is an obvious one, collecting and curating bug reports another one.
4. How should we design systems to better work for coding agents? Does it influence our tech choices? Should it influence them?
5. Is AI a net positive or negative for security?
And so much more. The last topic in particular is incredibly important, and things are developing so fast that you can probably have a new conversation on it every two weeks.
if you use LLMs frequently it's possible you'll forget to think critically?
Conversations about which model to use aren’t conversations about programming.
A better analogy would be some topic that you can’t discuss without it boiling down to which text editor you should use. It’s related to programming, a little. But it’s not programming.
Other tech-adjacent subreddits such as /r/rust have banned LLM discussion for similar, more pragmatic reasons.
I am also annoyed by the endless stream of articles and projects related to LLM-assisted coding. Not because I dislike LLM-assisted coding as an idea, but because it's all more of the same (as you said). I think that there are still a lot of low-hanging fruit in improving LLM harnesses that no one is working on because everyone seems to be chasing the latest trends ("agentic", "multiagentic", "skills") without thinking bigger.
But I'm afraid that if I finally invest time and implement some of my ideas on making LLM-assisted coding better (reliable, safer, easier for humans to interpret and understand generated code), I won't be able to gather any feedback. People will simply dismiss it as "yet another slop for creating more slop" and that's it.
What is the way out of this conundrum?
Like saying theres no interesting discussions about programming. Just whether OOP is overhyped, python is slow, how well you can convert a c codebase to rust
Just like discussions about traditional programming never were only about syntax and type systems, AI discussions aren't only about prompts and harnesses. I find there's quite a bit of overlap actually! "How do you approach this problem?" Is a question that is valid in both discussions, for example.
Claude does that for me. :)
And the discussion on LLM itself can in the long run be fairly tiring, follow r/LocalLLaMA for a while and you'll see what I mean. But if you are really into LLMs though, that sub is great.
It is simply not fun to go on to a subreddit, seeing 90% being projects and blogs that is obviously created using AI, and authentic content being pushed to the side due to the high volume of artificial works. r/Python was horrible at one point, but the mods have been stepping up their game.
I think this is mostly true but not completely true, LLMs are a tool and right now we are learning how to use it, how to use it well and more importantly how not to use them.
THAT SAID, I think this might be what gets me to go back to that place. I used to come here to read about new Python tooling, latest database development news, interesting thinkpieces on development practices, etc. Now it's dominated by AI evangelism, "I'm Showing HN™ What I Used By Claude Tokens On :)", AI complaining, AI agent strategies, AI's impacts on the industry news, etc. There are some non-AI posts but not as many good ones as there used to be, and a lot of the non-AI posts quickly turn out to be AI written. Because they respect their time as a writer greatly and my time as a reader not at all. It's ClankerNews, the Hackers are in short supply.
There are some true gems however but usually in smaller focused subreddits.
I never thought I’d miss vBulletin so much.
1: https://www.reddit.com/r/blog/comments/o5tjcn/evolving_the_b...
> Just angry people scolding each other all the time.
This really does describe it perfectly. I don't know about others, but focusing on my career pulled me out of a relatively low-income and dysfunctional environment. Reddit too often reminds me of people I used to know in real life.
It's been so many years since then, and finding and living a better life was so intertwined with my young adulthood that I almost convinced myself people like that don't exist in real life anymore. I thought the whole world had moved on, but search results nowadays prioritize Reddit enough that I'm routinely proven wrong.
Contrary to popular belief, I don't think most of the stuff on there is fake. Those people probably really are like that. Certain ways of thinking can become so normalized that they don't even see what there is to be ashamed about. What I sense the most on there is a lot of stress and the resulting irrational fears that pour out of people when they feel too much pressure. People under a seemingly endless and vague threat will go a little nuts and start to swat at anything that disturbs their worldview.
A good test for any community is: try posting that is factually incorrect but that supports the agenda of the community. Does the community call it out? In Reddit it does happen.
The reality is, the masses, the real world, the average person. Is an asshole.
It doesn't reflect in the real world, because people learn to hide their assholeness at a very early age (Or they learn how to get punched in the face).
On an anonymous forum. You don't have to hide your assholeness.
Frankly it's amazing the site never devolved into 4chan. I attribute that to all the people doing free labor --> mods.
I've never really paid attention to usernames. Like I'll notice someone's name, out of familiarity.
But if I noticed you, it's because I liked what you've written in the past.
If I hated someone's writing... I wouldn't think about them at all.
The fact that the people running r/progamming don't know not to wait until April 2 to publish this tells me that they don't have real-world experience in shipping software in a business environment.
We are SO past the point of software being developed without LLMs at _all_, the trend line is never going to reverse. I don't understand the people digging in as zero LLM absolutists.
It makes sense that a programming subreddit first and foremost discusses programming (the skill). We can go complain about Claude somewhere else if we want to.
https://en.wikipedia.org/wiki/Argumentum_ad_populum
I have no reason to believe AI is used as much or as widely as you claim.
In my industry AI is fully available and was almost forced on us, and yet nobody is using it. The process of using AI and then scrutinizing the output is just more work than doing it manually. The most I encounter AI is when running job interviews and watching candidates read AI generated answers off a screen.
My industry also tends to skew much older than where I came from previously writing JavaScript full time. We are also fully remote with lots of status meetings. If I were less confident in my ability to communicate in writing maybe I would be more inclined to use AI.
I also don’t really envision AI accomplishing my multitude of daily managerial and administrative assignments that I have in addition to agile stories and writing code. Comparatively, writing code is the trivial part.
Some sub reddits forbid memes, because else they get flooded and the good content drowns in it.
Some sub reddits only allow certain content of certain days to counter this.
What do you want to mods to do?
Sometimes a topic gets too popular, it drowns out all the other topics. At that point, aren't they just a glorified version of r/llm?
I'll give you one personal example:
The year Caitlin Clark was drafted to the wnba.
r/wnba went from a subreddit of 9000, to eventually 200k subs.
We were bombarded with CC posts every hour.
- Some of it was trolls staging a race war (this was during US elections).
- Some of it was genuine CC fans, who wanted to talk about CC.
- Some of it was bball nerds, who you know... wanted to talk about a bball player in a bball forum (regardless of who that bball player happens to be).
So what happened was, at any given day, 80% of the front page was CC content.
At that point, we might as well have been r/caitlinclark.
So the mods did something drastic and controversial. They banned all "low effort" CC content.
WTF does "low effort" mean? It pretty much meant 99% of CC posts got removed.
The forum went back to something that resembled a bball forum. That talked about other players. And other teams. Not just Caitlin Clark.
I'm sure your experience is different, but you can't _seriously_ claim we're "past the point" of not using LLMs for programming.
Vibecoding is a fundamentally different kind of activity than actual programming. It's a pure delusional dopamine rush, compared to the deliberate engineering required to build quality software.
I generally agree that while I think vibe-coding is here to stay, it's different from designing useful products and systems, and I don't know how to convince colleagues that we should uhh be careful about all this code we're pushing. I fear all they see is the guy aging out.
They weren't useless, they proved if the direction that the prototype was exploring was worthwhile. I've personally made many completely shit code prototypes in the years before we had LLM's, of course they weren't magically production ready, that's not the point of a prototype.
How about Claude Code? 100% of it was vibe-coded according to its creator.[1] Google and Microsoft also claim a lot of their internal code is AI-generated now. [2] [3]
Naturally, none of the big tech companies will just release a pure vibe-coded project due to structural reasons, but you also _seriously_ can't claim that serious projects don't use LLMs as well these days. Maybe in your limited experience, it isn't true, but that doesn't generalize to what's actually happening.
1. https://www.reddit.com/r/Anthropic/comments/1pzi9hm/claude_c...
2. https://fortune.com/2024/10/30/googles-code-ai-sundar-pichai...
3. https://www.cnbc.com/2025/04/29/satya-nadella-says-as-much-a...
Agents are trivial to make. I don't know whether that means they're not "serious", but it's exactly the type of thing you can make yourself in a very short time, and exactly the type of thing even LLMs can't fuck up too bad.
With regards to the overall point, I think the existence of projects using LLMs to do development doesn't really lend credence to the idea that they're somehow preferable or desirable. People tend to use hyped things, imagine they're useful even when presented with evidence to the contrary, and generally be very resistant to sobering realities.
It took years before people stopped running hadoop clusters to do things that a single linux box could get done 10x faster with some basic pipes. I'm sure there are still people who have "serverless backends" that work terribly in every regard in comparison to literally just a linux VM somewhere. People in software development tend to find these types of things every once in a while and adopt them wholesale.
This cycle is helped by the fact that the field has been growing constantly and a lot of the adoption comes from kids who don't know any better. Every piece of shit technology that comes and goes has meat for the grinder coming straight out of university.
Would I put LLMs in the same category as these previous (nearly) useless things? Probably not... But you should never trust peoples' perception of usefulness when it comes to almost anything in software development.
If you give a regular person a race car, they will crash it about as fast as their vibecoded app crashes. Give the same race car to a pro age it’s a different story.
I still think this was the right decision by the programming mods there. Talking about tools is pretty boring, and you need to train to use something like an LLM assistant. No one who can’t program a language should be using an LLM to learn it unless they know about 2-3 other languages already, IMO.
Python, cmake, bash, perl, every conceivable tool or language, there's millions of people in the industry who will never touch them.
This might be a wild concept, so make sure you're sitting down: the field of software engineering is unfathomably larger than your personal, extremely narrow, viewpoint.
I can't tell this is a joke or not. Do people really care? Or maybe the U.S. thing? At least in my country nobody cares....
That's exactly why I've given up on programming, development or career subreddits. There are a lot of interesting software engineering challenges opening up, but instead of discussing it like professionals it all gets drowned in a big negative mixture of rants against the financial AI bubble, companies using AI as an excuse to lay off, and a general antiwork vibe. All these subreddits have become feel good/bad echo chambers for angry teens and students with no real world professional experience.
LLMs tooling brings a lot to senior devs. I have 15 YOE, I own a small agency, we are shipping faster, with less bugs, and believe it or not we are hiring, because we are able to take more work and grow, as it is logical without the political issues plaguing the US in particular. The market is already adjusting, hence why to me we are way past the point of developing professionally without LLMs.
So no I don’t get why the political topics are not discussed elsewhere and the irrational denial of the technology because of said political issues.
There's a good chance the actual needed implementation is less than 20k lines (I've found that LLM bloat grows exponentially), but even that's a stretch to review and accept wholesale.
The comment in question was a small feature of about 1.5k lines changed and it was solidly tested.
Relevant read: https://en.wikipedia.org/wiki/Luddite
I feel like it’s easy to understand what’s motivating these individuals to take that stance.
Anti AI crowd on the other hand just doesn’t like AI. A modern equivalent of a Luddite would be someone going on strike to protest firings.
But current AI is actively destroying our breathable/livable planet by drawing unmatched quantities of resources (see also DRAM shortage, etc), all the while exploiting millions of non-union workers across the world (for classification/transcription/review), and all this for two goals:
1) try to replace human labor: problem is we know any extracted value (if at all) will benefit the bourgeoisie and will never be redistributed to the masses, because that's exactly what happened with the previous industrial revolutions (Asimov-style socialism is not exactly around the corner)
2) try to surveil everyone with cameras and microphones everywhere, and build armed (semi-)autonomous robots to guard our bourgeois masters and their data centers
There is nothing in this entire project that can be interpreted to benefit the workers. People opposing AI are just lucid about who that's benefiting, and in that sense the luddite comparison is very appropriate.
* “I am bullish about AI”
* “I am an AI skeptic, [long rambling], but overall, I am bullish about AI”
It’s amazing how even criticism of the technology somehow ends up being a hype post. At least there are still places on the Internet where we can have a serious discussion about the downsides.
I prefer strong opinions than the academic conclusion that a thing has some good parts and some bad parts. I feel 99% of modern essays are afraid to take a stance about anything, and it makes for uninteresting reading and even less interesting discussion.
To be fair, my issue with the born-again AI skeptic genre of posts is that it's basically clickbait. As if being a skeptic at one point makes your argument stronger, proving that the hype is real, and one should pay attention. It's intellectually dishonest, even if meant in earnest.
(Your post history shows that you have been anything but an AI skeptic. Case in point about intellectual dishonesty.)
Look, some issues require nuance. Others don't. It's gaslighting to tell activists who consider Big AI to be a net negative for society (by an order of magnitude!) that their position isn't "real-world reflective".
How the tables turn.
> Timing just worked out this way. New month, ideal timing for testing a new rule.
(Evidence-free conspiracy theories are generally unwelcome at HN.)
Also, most discussions about AI / LLMs on career or general programming subreddits are not what I would call productive. I _want_ new useful information about this topic, but I know I won't get it as things are right now.
Now it’s people sharing AI apps that look exactly like other AI apps that they have never heard of [1]
Project rise then implode hilariously in a month [2]
An ebook management project that grew over a year with pretty conservative feature set, then in 3 months implements every ebook feature under the sun, breaks every thing, then implodes. Funniest thing is when the “AI Slop” callout is itself AI written and no body notices. [3]
Like… amazing comedy. Then after the owner deletes the repo, 10 people have to role-play the hero who “has the code” because clicking Fork on GitHub is the sign of a true hacker.
[1] https://old.reddit.com/r/selfhosted/comments/1r9s2rn/musicgr...
[2] https://old.reddit.com/r/selfhosted/comments/1rckopd/huntarr...
[3] https://old.reddit.com/r/selfhosted/comments/1rs275q/psa_thi...
Last time I checked only political posts (like related to offshore programmers) got any kind of attention. Most technical posts barely gets 10 comments. Some of the smaller subreddits (like /r/ProgrammingLanguages) are much better.
IMHO, Mitchell Hashimoto[^1] is a good example for the community to learn how to cooperate with modern LLMs.
(Yes, I know, I can install an extension or something to hide LLM/AI submissions. I don't want to, and that's not the same thing, and won't have the same effect.)
I use LLMs, I think they are useful, but oh my sweet jesus I am so tired of reading and hearing about them everywhere.
How can that be true? Reddit is vote-based. So if people weren't interested, they wouldn't vote it up and it wouldn't appear on the front page. Hacker News has no rule banning posts about Barbie and yet, amazingly, Barbie rarely makes it to the front page, because that's how upvotes work.
People clearly are interested enough to vote LLM related posts up, but a bunch of mods who don't like AI are upset enough to want to dictate what others can find interesting. Which is not unusual for Reddit.
From the user responses to the linked ban, said ban was a positive decision for that community.
Which is fair but just be honest about it.
/r/programming was already unappealing because they tend to be late to surface interesting content in comparison to HN.
If only, just this once, it were true. Sigh.
They truly believe LLMs are close to useless and won't improve. They believe it's all just a bubble that will pop and people will go back to coding character by character.
Hmm, there's a site I wanted to share with you but I can't find it atm., it's a directory of personal websites sorted by topic. It pops in here from time to time.
/r/assembly bans all discussion of 4GL
LLM programming isn't going away by not talking about it. It's time to move on, and eventually considering farming.
Makes sense. If I'm looking to read discussions about stables selection, feed prices, etc, why would discussions of spark plugs be relevant?
> /r/assembly bans all discussion of 4GL
Also makes sense; people wanting to discuss register allocation, bit twiddling, etc probably aren't interested in insurance claims taxonomies or similar.
> LLM programming isn't going away by not talking about it.
Right, but is the context still /r/programming? After all, there are tons of subreddits you can go to to discuss LLM programming. Why do you need to shove it into a space created for human thoughts on programming?
> It's time to move on, and eventually considering farming.
Okay, understood, but my question still stands - why conflate programming with viber-coding?
If the accusation is that I am an inference engine pumping out words based on a trailing context window then I am guilty as charged. It’s just that I run on Fe + C6H12O6 + O2 (a bloodstream charged with lunch and air) instead of y/C/N2 -> Si+e- (sunlight, coal, and wind turned into silicon electrons.)
This sort of tells me that you are pro-LLM, and most pro-LLM people mostly paste the contents of their ChatGPT output and try to pass it off as their own.
Given that you say you aren't, the most likely explanation might be that you are spending a lot of time reading LLM prose, and are starting to write like it now too.