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I'm testing a theory that large-scale (LoC) generated projects in Rust tend to have fewer functional bugs compared to e.g. Go or Java because Rust as a language is a little stricter.
I've not yet formed a full opinion or conclusion, but in general I'm starting to prefer Rust.
Re: generalizing mocks, it sounds interesting but after getting full-fidelity clones of so many multi-billion dollar SaaS offerings, I really like it and am hooked. It pays nice dividends for developing using agentic coders at high scale. In a few more model releases having your own exhaustive DTU could become trivial.
https://news.ycombinator.com/threads?id=Zakodiac
This one's a bit clever in that it actually comments back.
I feel like I've been pointing them out too much lately so I wanted to wait until somebody else did first.
They all seem to take advantage of accounts that are a few years old with zero posts and then suddenly make a bunch of AI-generated comments on a single day, like this one did (account from 2023, no posts until today.)
The last bot I pointed out that did the same thing ended up having its "owner" make a post about it that didn't get any attention:
As well as being an ethical approach - I think it's wrong to try to impersonate humans and/or not announce AI output as AI - it would also be handy for new filter options: all bot posts are OK, hide bot leaf comments, or hide all threads with bot comments. etc.
[edited as my robot unicode/emoji char didn't come through]
The finishing with a question thing is prevalent with both accounts on Twitter, presumably because it "drives engagement" with the accounts.
It's particularly frustrating because it amplifies how much time is wasted - people don't just waste time reading comments by bots, they then invest effort in thinking about and replying to them.