The Philosophy of RubyLLM

This is all you need for scale with RubyLLM

RubyLLM: One API, OnePerson, One Machine

HN discussion on a 94-line Ruby coding agent using RubyLLM. Explores Ruby for AI tasks, LLMs in agentic AI, and the balance of libraries vs. core code. Overview of the thread. #AIagent 1/5

The brevity of the "94 lines" agent heavily leverages the RubyLLM library. The discussion highlighted the balance between using powerful libraries and the significance of the custom core logic in such projects. #Programming 3/5

It's an essential read for developers, enthusiasts, and tech leaders alike.

Discover new products and initiatives,
including Matt Solt's "Ruby AI: MEGA Jobs & Opportunities" report,
Joe Masilotti's "Ruby Friends" app,
and Carmine Paolino's "Async Guide for RubyLLM."

Remember to read Thinking about Code so you discover interesting conversations from among others:
@headius.bsky.social @nateberkopec.bsky.social @skillstopractice.com @pascallaliberte.me @paolino.me @hansschnedlitz.com and others

Thank you for your kind words!