designated_fridge

Yeah this is the scary part. Idiots like Trump will always exist. The fact that so many Americans will follow an idiot is the worrying part.

Interesting!

I have gone through my ups and downs. Lately I've been more and more convinced. I use Claude Code (Opus 4.5) hooked up to our internal atlassian and google drive mcps. I then ofc have to do a lot of writing (gathering requirements, writing context, etc) but instead of spending two days coding, I'll spend half a day on this and then kick off a CC agent to carry it out.

I then do a self review when it's done and a colleague reviews as well before merge.

And not for architectural work... Rather for features, fixing tech debt, etc.

This also has the benefit of jira tickets being 1000x better than in the pre-LLM era.

Yeah that's a very good point! Thanks!

I get the AI hate around art. But it's quite a naïve (and frankly shows just how little you understand about AI) view to talk about broken AI products because I use AI to write some unit tests for me.

I won't go into details but pretty sure you use our product every day without reflecting over whether the code was written with the help of AI or not.

Art is one thing and I agree. But you make it sound like you'd hate mathematicians who decided to use calculators, or hated programmers who used the first programming languages. Real programs are built with machine code!!

I don't see the bubble popping at all.

As a software engineer at a big tech org, there's no way we'll ever go back to the world before LLMs. It's just too good to ignore. Does it replace software engineers? No, not all of them, but some. What previously required 70 engineers might now require 60. Five years from now, you might get by on even fewer engineers.

What could cause the bubble to pop? We're rolling out AI code at scale, and we're not seeing an increase in incidents or key metrics going down. Instead, we are shipping more and faster.

So maybe it's too expensive? This could be the case, but even so, it's just a matter of time before the cost goes down or a company figures out a workflow to use tokens more conservatively.