[crat3r]

So, are people using these tools without the org they work for knowing? The amount of hoops I would have to jump through to get either of the smaller companies I have worked for since the AI boom to let me use a tool like this would make it absolutely not worth the effort.

I'm assuming large companies are mandating it, but ultimately the work that these LLMs seem poised for would benefit smaller companies most and I don't think they can really afford using them? Are people here paying for a personal subscription and then linking it to their work machines?

[codebolt]

If you can get them to approve GitHub Copilot Business then Gemini Pro 2.5 and many others are available there. They have guarantees that they don't share/store prompts or code and the parent company is Microsoft. If you can argue that they will save money (on saved developer time), what would be their argument against?

[otabdeveloper4]

> They have guarantees that they don't share/store prompts or code

"They trust me. Dumb ..."

[tasuki]

> The amount of hoops I would have to jump through to get either of the smaller companies I have worked for since the AI boom to let me use a tool like this would make it absolutely not worth the effort.

Define "smaller"? In small companies, say 10 people, there are no hoops. That is the whole point of small companies!

[bongodongobob]

I work for a large company and everything other than MS Copilot is blocked aggressively at the DNS/cert level. Tried Deepseek when it came out and they already had it blocked. All .ai TLDs are blocked as well. If you're not in tech, there is a lot of "security" fear around AI.

[jeffbee]

Not every coding task is something you want to check into your repo. I have mostly used Gemini to generate random crud. For example I had a huge JSON representation of a graph, and I wanted the graph modified in a given way, and I wanted it printed out on my terminal in color. None of which I was remotely interested in writing, so I let a robot do it and it was fine.

[crat3r]

Fair, but I am seeing so much talk about how it is completing actual SDE tickets. Maybe not this model specifically, but to be honest I don't care about generating dummy data, I care about the claims that these newer models are on par with junior engineers.

Junior engineers will complete a task to update an API, or fix a bug on the front-end, within a couple days with lets say 80 percent certainty they hit the mark (maybe an inflated metric). How are people comparing the output of these models to that of a junior engineer if they generally just say "Here is some of my code, what's wrong with it?". That certainly isn't taking a real ticket and completing it in any capacity.

I am obviously very skeptical but mostly I want to try one of these models myself but in reality I think that my higher-ups would think that they introduce both risk AND the potential for major slacking off haha.