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.
miniblog.
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I'm writing a Path type in my programming language but not sure what methods belong on a Path.
Should I have some_path.read_string() or fs::read_string(some_path) instead?
I love .method() for IDE completion, but I don't want Path to be cluttered. I'm also trying to avoid UFCS.
Excellent series on Self, both the programming model and the tool chain.
I love how opening an inspector on a value (e.g. nil) then shows a link to all occurrences of the value in other open inspectors!
Agentic programming workflows rather remind me of genetic programming. The agent has a validation step that looks like a fitness function, and both run iterative trials.