miniblog.

It's really satisfying to use a profiler for the first time on a project. I always find a big performance win with only a small code change. It's never the code that I expected to be slow, however!

Bootstrapping a language can be immensely satisfying. I've added the ability to define stub types in the Garden stdlib and suddenly I don't need to special-case Int or String! They're just normal type declarations.

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.