u/Gil_berth

In a shocking confession, The Primeagen admits that he feels that his abilities are obsolete, and that a model like Fable can do everything that he can do, so he doesn't need to program anymore. From now on, he will focus his energy on vibe coding tools for developers.

This is a very weird way of reasoning, because I'm sure Fable can't do "anything", otherwise Anthropic, OpenAI and other tech companies would have perfect software(and not the horrible web apps that they ship) and wouldn't be hiring developers and paying them handsomely.

What exactly are the "tools" that The Primeagen is working and will be working on that he can "just vibe code" them? Is what the The Primeagen only does "toy programs"? Has he ever finished a complete full program? There are many areas of programming where LLMs still suck and will probably continue to suck because their performance is inherently tied to the quantity and quality of their training data. So why is The Primeagen having this defeatist attitude?

The Primeagen is sponsored by LLM companies that continuously promote vibe coding. He actively uses the software and tokens that these companies have gifted him. I you follow the money, I suppose you could see this confession from a mile away. I also suppose the money that Cursor is throwing at him is life changing, so much that it killed his love of programming.

Came across the subreddit /singularity the other days and many commented that they had 20+ years of experience and hadn’t written one single line of code since 2025.

I feel living in a parallel universe, because at my work, no matter how we incorporate AI into our workflow (we literally tried every way people recommended), AI rarely produces the exact or the same quality of codes without decent amount of human developers’ intervention. And at the end of the day, the amount of time we spend reviewing the AI generated MR pretty much makes the velocity if not the same but slower.

That was why I felt utterly surprised to see so many people in the /singularity sub claiming they didn’t need to write codes no more. I wonder if they are just maintaining some existing systems. Ya, for sure AI can handle small changes especially in an existing system. In my opinion which is contrary to the general public believes, AI sucks at building a production grade brand new system, sure, it can build small prototypes, but when you have complex business logics, it always creates tons of junk codes that looks seemingly ok on the surface, but impossible to scale in the long run.

I am genuinely curious about the backgrounds of the types of engineers that rely fully in AI. I wonder if they didn’t enjoy building a decent system even before the time of AI already? Were they the type of engineers that wrote dirty codes and didn’t care? Were they the types of engineers that worked in the type of systems that architecture and scalings are not important? There’s this guy in my company who was a developer in consulting industry before the dot com bubble then transitioned into engineering manager the last 2 decades. He’s in that camp as well believing AI is better than human engineers. But the thing is his codes were already unreadable before AI (he codes a bit from time to time and tries to resolve some Jira tickets himself in order to claim he understands us engineers) and he just never understood the points of software engineering principles and why do you even need to decoupling, clean coding… etc.

For example, I can imagine system engineers maintaining company’s Jira or Confluence not caring about the quality of their Groovy scripts. Or Python monkeys that can script but have no idea what API is and think you can indefinitely add as many columns to the db table anytime you want without knowing what foreign key means (unfortunately, there are many of these kinds of Python engineers in the industry).

TL;DR
Why are there engineers thinking AI can do all of their jobs when in reality it can’t it’s just a tool that requires human intervention? What are their backgrounds?

Edit:
Seems like bots are flooding into this sub as well. Never had I seen 40+ comments within the first 2min after the post was approved and became visible. I am calling you out AI bots.

Edit 2:
Wow, I keep seeing only 2 people are typing or 3 are typing, then 10+ comments showed up at the same time. If this is not bot, what is it?

Edit 3:
Oh please, stop saying you are an engineer in FAANG with 10+ years of experience without telling us which product you work on in FAANG. If you are on the Facebook teams, Gmail, Google Map and Amazon app, we all know they are bad and the reliability dropped significantly in the past 2 years. People know and consumers know. That’s why you write not a single lines of code, not because AI is that good, but because you don’t care about your company product and your job.

Edit 4:
Another phenomenon I never saw before, I am seeing the upvote counts fluctuating 40 or 50 at a time in seconds difference between refreshes. This is a real bot attacks.

Edit 5:
The Reddit post analysis shows that only about 60% of the views on this post are from US, UK and Australia, the “others” count for 40%. Very interesting.

>(Bloomberg) -- DeepSeek is steeply raising the prices for its flagship V4 models, bringing the low-cost provider's rates closer to those of major artificial intelligence rivals.

Just got this email:

> We plan to raise the overall pricing for DeepSeek API services in the near future, with a significant increase expected. Please plan your usage accordingly. The specific pricing plan will be subject to official notice. Please keep an eye on the Open Platform announcements and check your email for further details.

I find it interesting they are coming out and saying the increase will be “significant” because their whole thing is being the cheap option. Feels like a harbinger of stuff crashing down.

Greg Kroah-Hartman will reject LLM code in the staging area of the kernel due to this being the ground where newcomers can learn kernel development, so using LLMs defeats the purpose of this endeavor.

There is an interesting tidbit where Greg puts doubt on the effectiveness of LLMs:

>Note, LLMs are very good at finding suspect "security issues" in kernel code these days. But even with the best of the current and next generation tools, at least 1/3 of the results they generate are flat out wrong or harmful. So, if you think your LLM-found/fixed issue in a drivers/staging/ file is really valid, it's fine to submit it BUT you must have first tested it on the actual hardware for the driver, and described how you have done so, in order for us to be willing to take the change. This testing process should _hopefully_ weed out the 1/3 wrong reports, but that isn't always the case, so you MUST be willing to defend your submission and prove that it really is correct in fixing a bug that a user can actually hit.

Eric Morrison watches a guy who wants to automate everything, even coming up with ideas...

Honestly the headline speaks for itself, 5.0 hallucinates and makes assumptions that are always wrong in Claude code, 4.8 never used to do this. Or the odd occasion when it did it has never been this bad.

This stinks.

Curious to know. And why if so? I have 16+ years of experience as a dev.

It's been 1 week that I stopped completely and so far it is okay and luckily I can still code ;) (though got rusty initially) and that's what I enjoy doing, thinking about problems, architecting, writing tests, writing code, reviewing PR's etc. keeps my brain sharp and more confident.

So, Codeberg has voted (with a 70-30 decision in favor) to ban mostly LLM generated repositories from their platform. This means no more vibecoded, spec-driven Claude/Codex/OpenClaw (ew) induced code bases are allowed to be pushed onto Codeberg.

Codeberg is a bit of a special place in comparison to other code hosting platforms (e.g. Github, Gitlab, etc...) in which it operates as an "Eingetragener Verein" (German legal form of a Club, like a local football club for example), meaning you can become a member an obtain voting rights in decisions such as these. Codeberg has 1085, of which 517 decided to vote on this. (This is different from the user number, which sits a little under 400k currently! You have to actively become a voting member by paying a membership fee.)

Enforcement of this rule aside, which will not be an easy task, this shows even though everyone might scream at you that every engineer loves and could never even imagine coding without their almighty LLM buddy, it seems there are spaces where this is not true, and the majority of the people contributing decided it should be like this. Alongside policies for projects such as Godot which also limit LLM code contributions, the flood isn't unstoppable. If you care for software as a craft and passion, look outside the bubble, there's people thinking just alike.

I know Prime's friends founded Opencode, but, is this bullshit or is Prime really promoting slop software?

"If you don't use it, you will be left behind.", well, the most valuable company in the world is now one that is being "left behind", because in contrast with the other big tech behemoths, Apple has been very reluctant to pour money into LLMs. Big tech has been shoving LLMs on everyone for almost 4 years, investing trillions without any ROI in sight… Except Apple, who didn't fall for the hype and just kept doing what they do, and although they are integrating LLMs in its operating systems, in comparison with other companies, they've been very conservative . The result? According to Reuters, Apple shares have outperformed the "Magnificent 7" this year.

Cursor executes any git.exe without care. This vulnerability was reported to Cursor 7 months ago, but they seem to not care at all…

Another product has been cancelled by OpenAI. Isn't it ironic? The company that has unlimited "PHD intelligence" can't make a succesful product, and the company that has unlimited access to coding agents that(supposedly) 10X your productivity can't make software that people are willing to use. Sam Altman has run out of ideas, so it does what losers do, follow the leader. OpenAI has shifted focus to selling agents to enterprise customers, since this is what the biggest LLM company in the world, Anthropic, is doing; but there is a little problem: Anthropic isn't profitable, and with some enterprises chifting to chinese models, is in doubt if it will ever be. So OpenAI's pivot seems also condemmed to fail. I suppose this is why Sam Altman is so eager that the US goverment invests in OpenAI, a bailout seems to be his last resort...

https://preview.redd.it/2z7udb2ub3ch1.png?width=1396&format=png&auto=webp&s=d32f8cc763f91227a2dd39e610234c9d3287b76c

This must be a joke, right!? This book has 252 reviews, but I refuse to believe that someone is unironically buying this crap. The book is written by Steve Yegge(the guy that made Gas Town) and has a foreword from Dario Amodei(!), the CEO of Anthropic. Amazon says the book has 384 pages, which I really don't understand why, isn't the point of vibe coding that you don't have to know anything? If you are gonna read a 384 pages vibe coding book, you might as well learn to program for real...