The Digital Press

Building a coding agent can be surprisingly simple and concise, as demonstrated with just 94 lines of Ruby code leveraging the RubyLLM gem and a few core tools.

Why it matters: Coding agents can automate software development tasks with minimal AI expertise, democratizing AI-assisted coding.

The big picture: By integrating basic file operations and controlled shell commands, a chat-based LLM transforms into a functional coding assistant.

Quick takeaway: The Ruby ecosystem’s emphasis on readability and boilerplate reduction makes it ideal for writing clear, maintainable AI agents.

Commenters say: Users appreciate the clarity and accessibility of the approach, praising RubyLLM’s ease of use and debating safe tool scopes like shell command execution.