Working software developers of the Fedi, what's your relationship with AI coding (like Claude Code)?

#poll #askFedi #software

Don't like it. I don't use it for work.
Don't like it. I have to use it for work.
It's complicated. I don't use it for work.
It's complicated. I have to use it for work.
It's complicated. I happily use it for work.
I like it. I don't use it for work.
I like it. I have to use it for work.
I like it. I happily use it for work.
Other, comment below.
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I wonder what the distribution will look like if we get to 100-200+ votes.

My hypothesis is that the more casual Fedi users are more likely to use AI coding in some way.

Update:
- Started at 28% some sort of AI Coding use at ~60 votes.
- 36% at 336 votes.

@mayintoronto I'm just absolutely astounded that there's this many professional coders who *aren't* required to use it in some form for work yet.

The enterprise-grade/enterprise-cost tools are far better than the basic stuff.

We have a monthly per-dev credit budget so literally on a prompt by prompt basis I have to decide which model to send it to, based on what I'm doing and how much budget I have left.

Claude Opus 4 is definitely the best. If I get all the context loaded right and give an essay-length prompt full of requirements, it will usually get something I can send out for code review with little corrections. It is also the most expensive by far.

Claude Sonnet and Claude Haiku are not worth using.

GPT-5 Codex High is next best and gets you 90% of what Claude does but at 1/3 the cost. I usually reach for it as my primary model.

GPT-5 Codex Medium is half the cost of High and I use it for simpler tasks or fixing up other models minor mistakes.

The whole gemini family is infuriating. It often does the right thing on the first prompt but when it gets things wrong it does it in the most infuriating, non-obvious way and once you see it, it absolutely refuses to take correction.

@lackthereof It probably depends on where you work at the company. I'm on an infrastructure team of five engineers at Target. We're small and stable enough that most of the company ignores us until they need an announcement when people call a store. Other teams here seem to get a harder push to use AI.