A software developer found out that the failing company they’re at, which was winding down for business reasons, decided to try becoming a zombie company by replacing its software stack (and employees) with a vibe-coded SaaS piece of garbage that’s broken in dozens of ways.

Not really. I’m using Copilot for my job because I’m required to, but I limit it to creating basic scripts that accomplish very specific tasks, which it’s okay at. I never let it touch my actual codebase.

Every experiment I’ve run to test how it does with real code from a large, production application has failed miserably. It introduces mocks, it duplicates stuff everywhere, it fakes shit when real APIs are available… I have no fucking idea how these “AI” companies have managed to convince so many businesses that producing catastrophically shitty code very quickly is a good thing.

There is exactly one situation in which it sort of makes sense: Copilot integrated with VS Code, running repo-specific commands like yarn build, with direct human oversight.

That’s it. That’s the only situation.

mind horse blowing.

It was right there.

You do know you can use AD with Linux, don’t you?

No. Is no okay with you, USDA? How about with a side order of fuck you?

I call bullshit. A large language model does nothing until you interact with it. You set tasks for it, it does those tasks, and when it’s done, it just waits for the next task. If you don’t give it one, it can’t act autonomously - no, not even the misnamed “autonomous agents.”

The thing is, it really won’t. The context window isn’t large enough, especially for a decently-sized application, and that seems to be a fundamental limitation. Make the context window too large, and the LLM gets massively offtrack very easily, because there’s too much in it to distract it.

And LLMs don’t remember anything. The next time you interact with it and put the whole codebase into its context window again, it won’t know what it did before, even if the last session was ten minutes ago. That’s why they so frequently create bloat.

Well, if I’m not, then neither is an LLM.

But for most projects built with modern tooling, the documentation is fine, and they mostly have simple CLIs for scaffolding a new application.

Yeah, I have never spent “days” setting anything up. Anyone who can’t do it without spending “days” struggling with it is not reading the documentation.

In those countries, he wouldn’t be able to do what he’s done with our Congress. Every day, he commits impeachable acts, but the only political body that could do anything about it is compromised.

Okay, so imagine that we actually manage to have elections in 2026, and again in 2028. Also imagine that by then, Trump’s health has gotten so bad he’s no longer president, or has even died.

In that scenario, I would 100% support the use of taxpayer funds to demolish Trump’s disgusting ballroom, and restore the East Wing as it was the day Biden left office, as closely as possible.

Furthermore, I would support a long-term effort to utterly and systematically obliterate any trace of Trump, Trumpism, and Trump’s “legacy” in the government. Wipe him from history completely, except as a cautionary tale. Let nothing be named after him, or bear any of his fingerprints.

Finally, I would obviously support the absolute demolition of any and all of his businesses, to claw back everything he stole from us. Even if it costs more than we’d be able to recoup, just to ensure no one EVER fucking does this shit again. Leave no trace of his businesses standing. Let “Trump Tower” become a homeless shelter.

I’m a software developer and my company is piloting the use of LLMs via Copilot right now. All of them suck to varying degrees, but everyone’s consensus is that GPT5 is the worst of them. (To be fair, no one has tested Grok, but that’s because no one in the company wants to.)

On top of that, there’s so much AI slop all over the internet now that the training for their models is going to get worse, not better.

They’ll ask their parents, or look up cooking instructions on actual websites.

Venture capital drying up.

Here’s the thing… No LLM provider’s business is making a profit. None of them. Not OpenAI. Not Anthropic. Not even Google (they’re profitable in other areas, obviously). OpenAI optimistically believes it might start being profitable in 2029.

What’s keeping them afloat? Venture capital. And what happens when those investors decide to stop throwing good money after bad?

BOOM.

I hope he gets rich from suing them.

If I were in his shoes, I’d be packing up the car for a quick trip across the Canadian border.