7 comments

  • goldenshale 7 hours ago ago

    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.

    • jwr an hour ago ago

      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.

      • tikotus 30 minutes ago ago

        Can it already reliably close parens? I was disappointed some time ago, but sounds like it's ready for a new go...?

    • s_Hogg 4 hours ago ago

      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

      • kianN 2 hours ago ago

        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.

      • chr15m 2 hours ago ago

        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.

    • pjmlp 39 minutes ago ago

      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.