I have a bunch of open tasks on my GH repos, so I tried asking ChatGPT and Claude to write a card-based web UI that showed some random open issues.
ChatGPT gave me something that worked, but the Claude mock-ups look better (and render inline!).
miniblog.
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It's always seemed odd to me that the Rust stdlib is so lean (no random numbers, regex, HTTP) yet clippy is so big (correctness, performance, style preferences, even 'too many arguments').
Maybe it's because cargo is mature but clippy doesn't have an extension ecosystem?
I've started adding some --dump-syntax flags to difftastic to save me inserting random print statements when I debug.
I have no good intuition for when I should start adding debugging features. It's easy to do it too late in development.
Efficiently generating random numbers in an interval 0-N https://research.kudelskisecurity.com/2020/07/28/the-definitive-guide-to-modulo-bias-and-how-to-avoid-it/
The article demonstrates rejection sampling and bit masking. I've hit this problem a few times in property-based test frameworks, so it's nice to see solution techniques.





