I think repl driven development with access to native code could be a magic formula for agent engineering. No restarting, no re-compiling. Plus with persistent, immutable data structures you can iterate with many threads in parallel while maintaining sanity.
The first thing that comes to mind with no restarts or recompiling is the mangled variables you get in Jupiter if you're mucking around trying to get a prototype going and forget which cells have been run. I can definitely see agents having a problem with that. I would just try to make compilation fast if possible
Immutability and stateless separate the nrepl from jupyter. Clojure is not strictly functional but it tends to be the most straightforward way to do most tasks in the language.
People who are already using LLMs to drive Clojure REPLs say it works well (see #ai-driven-development on the Clojure Slack). I don't think forgetting which cells have been run is a problem with the described set up.
I think repl driven development with access to native code could be a magic formula for agent engineering. No restarting, no re-compiling. Plus with persistent, immutable data structures you can iterate with many threads in parallel while maintaining sanity.
Welcome to the previous AI Summer with Lisp and Prolog environments, :)
Pity that the new Summer got to ride an interpreted language, with bindings to native libraries instead.
It is. I'm amazed at how quickly agents can work with my Clojure code base and try things out. They make great use of the REPL.
The first thing that comes to mind with no restarts or recompiling is the mangled variables you get in Jupiter if you're mucking around trying to get a prototype going and forget which cells have been run. I can definitely see agents having a problem with that. I would just try to make compilation fast if possible
Immutability and stateless separate the nrepl from jupyter. Clojure is not strictly functional but it tends to be the most straightforward way to do most tasks in the language.
People who are already using LLMs to drive Clojure REPLs say it works well (see #ai-driven-development on the Clojure Slack). I don't think forgetting which cells have been run is a problem with the described set up.