AI text to regex solutions would be incredibly handy.
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It's not like it's some obscure thing, it's absolutely ubiquitous.
Relatively speaking it's not very complicated, it's widely documented, has vast learning resources, and has some of the best ROI of any DSL. It's funny to joke that it looks like line noise, but really, there is not a lot to learn to understand 90% of the expressions people actually write.
It takes far longer to tell an AI what you want than to write a regex yourself.
Whenever I have worked on code smells (performance issues, fuzzy test fails etc), regex was 3rd only to poorly written SQL queries, and/or network latency.
All-in-all, not a good experience for me. Regex is the one task that I almost entirely rely on GitHub Copilot in the 3-4 times a year I have to.