Buggy software can easily induce superstition in its users.
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Learning software development through playing and contributing to a MUD: https://tashian.com/articles/how-i-learned-to-program/
Difftastic has been cited in a paper!
Modernizing SMT-Based Type Error Localization https://arxiv.org/abs/2408.09034
The authors use difftastic to work out which parts of a buggy program have actually changed, a great use case :)
LLMs are a really accessible machine learning technique. I dabbled with text classifiers a few years ago and the APIs were way more involved.
(system_prompt: String, input: String) -> String
I can prototype with this much more easily!