Developer and refugee from Reddit
In our case, there are enough upper management folks who are opposed to it that I doubt it will last or ever be enforced. For people like me, it really doesn’t make any sense to enforce it in the first place, because all of my teammates are in other states and countries.
Making me go to the office just means you can’t schedule early meetings with me, because I’ll be commuting during that time.
My office just did the same thing. And the backlash is enormous. No one wants it. No one likes it.
The funny thing is that I’m actually an Arch user. I’m just not a dick about it.
Yeah, this sucks. Use the distro you like, people.
That’s how it’s done, yep.
Not the person you asked, but I do that sometimes. For instance, when I want to watch a specific video but I don’t want having watched it to affect other video recommendations.
You’re right, unit tests are another area where they can be helpful, as long as you’re very careful to check them over.
Actually, there’s growing evidence that beyond a certain point, more context drastically reduces their performance and accuracy.
I’m of the opinion that LLMs will need a drastic rethink before they can reach the point you describe.
So there are a few very specific tasks that LLMs are good at from the perspective of a software developer:
And that’s… pretty much it. I’ve experimented with building applications with “prompt engineering,” and to be blunt, I think the concept is fundamentally flawed. The problem is that once the application exceeds the LLM’s context window size, which is necessarily small, you’re going to see it make a lot more mistakes than it already does, because - just as an example - by the time you’re having it write the frontend for a new API endpoint, it’s already forgotten how that endpoint works.
As the application approaches production size in features and functions, the number of lines of code becomes an insurmountable bottleneck for Copilot. It simply can’t maintain a comprehensive understanding of what’s already there.
Exactly. It’s not true. Any company that fires all of its developers and sets up some poor intern to prompt-engineer updates to their codebase is going to fail spectacularly.
Source: I’m a software developer and use LLMs regularly. There are certain tasks they are very good at, but anyone who commits unexamined code generated by an LLM gets exactly what they deserve.
How’s your badly-generated AI meme game? Dictators don’t get very far around these parts unless they or their sycophants can shit out dozens of horrifyingly plastic-looking, improbably-muscular pictures of themselves riding giant bald eagles while American flags explode in the background.
There’s also the fact that what we are currently calling AI isn’t, that there are better options that aren’t environmental catastrophes (I’m hopeful about small language models), and that no one seems to want all the “AI” being jammed into every goddamn thing.
No, I don’t want Gemini in my email or messaging, I want to read messages from people myself. No, I don’t want Copilot summaries of my meetings in Teams, half the folks I work with have accents it can’t parse. Get the hell out of my way when I’m trying to interact with actual human beings.
And I say that as someone whose job literally involves working with LLMs every day. Ugh.
Which is why I have never and will never download the app, go to the website, or otherwise watch any TikTok content.
I still have enough of an attention span to read actual books and watch full-length movies, and I want to keep it that way.
Dunno why you’re being downvoted, that there was a solid reference.
I set up a WAF for my company’s publicly facing developer portal to block out bot traffic from assholes like these guys. It reduced bot traffic to the site by something like - I kid you not - 99.999%.
Fucking data vultures.
Coordinated SLM governors that can redirect queries to the appropriate SLM seems like a good solution.
How the hell are they going to sustain the expense to power that? Setting aside the environmental catastrophe that this kind of “AI” entails, they’re just not very profitable.
Yep, that’s also pretty safe.
Are you using Copilot in agent mode? That’s where it breaks shit. If you’re using it in ask mode with the file you want to edit added to the chat context, then you’re probably going to be fine.
After working on a team that uses LLMs in agentic mode for almost a year, I’d say this is probably accurate.
Most of the work at this point for a big chunk of the team is trying to figure out prompts that will make it do what they want, without producing any user-facing results at all. The rest of us will use it to generate small bits of code, such as one-off scripts to accomplish a specific task - the only area where it’s actually useful.
The shine wears off quickly after the fourth or fifth time it “finishes” a feature by mocking data because so many publicly facing repos it trained on have mock data in them so it thinks that’s useful.