[Brystephor]

Same. I've used it for debugging failed canary tests which required scripts and very specific knowledge on the canary platform that I wouldnt of ever spent time on.

I also have scripts to fetch specific database assets and forward them to slack channels so I can easily share them with a group rather than manually running a query and generating them.

I had a theory about improving a product. I asked it to build an offline simulation setup to try various implementations. The results were a bit fishy but i decided to give it a try and A/B testing is showing similar results.

And now im vibecoding a locally hosted dashboard. This one is less useful for anything specific, and more of a minor quality of life improvement, but its fun to just vibe code and see changes happen occasionally. Its not a critical thing.

[viccis]

I find it very useful for debugging tasks like that but it always ends up costing me like $3 despite doing incredible work. And then one of the other engineers at my company will rack up like $200 in tokens in one day producing tens of thousands of SLOC and we end up actually shipping about the same stuff. Sometimes I wonder if it's bad agent use discipline (just pointing it at massive codebases and having it read it all from scratch each time) and sometimes I wonder if they're just using it for personal projects. Because none of that code seems to land in prod, and I've found that cranking out 10s of thousands of SLOCs at a time is a recipe for a mess.

[mewpmewp2]

But depending on how much you get paid hourly, $3 would be very little comparatively, no?

[viccis]

Yeah that's my point. You can get a ton of value for a few bucks so I'm not sure what these people are doing to torch hundreds of dollars. It's possible they haven't figured out patterns to make AI work on large codebases, and it's also possible they're just churning endless on massively bloated AI written codebases.