Man, f-expressions are mind-bending to write.
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When a tool supports both regular expressions and literal strings, which should be the default?
If you default to regex, users can match more strings than they realise (e.g. `foo.txt`) or less (e.g. `foo(bar)`).
I typically see regex as the default, but I prefer the opposite.
The lisp model of programming is generally: write a function, evaluate it, interactively call it with some arguments, iterate. Jupyter notebooks are similar.
Why not automatically evaluate definitions (not expressions) whilst working? It seems like it could be a satisfying way to work with code.
C# has an interesting concept of second-class macros called Source Generators: https://devblogs.microsoft.com/dotnet/introducing-c-source-generators/
You can generate additional code at build time, but you can't transform existing expressions (unlike normal macros), so it's more amenable to tooling.
