Turning a Generic LLM into a Ruby Expert: What RAG Fixed and What It Didn’t

Turning a Generic LLM into a Ruby Expert: What RAG Fixed and What It Didn't June 4, 2026 A practical look at hallucinations, retrieval, and why having the right documentation is not the same as understanding it. Over the past few months, I've been experimenting with a simple question: Can a generic LLM become a … Continue reading Turning a Generic LLM into a Ruby Expert: What RAG Fixed and What It Didn’t →

The Original Sin, the Scorpion, and Local AI

The Original Sin, the Scorpion, and Local AI June 1, 2026 For the last few weeks, I have been experimenting with local AI models to help me develop and maintain Ruby projects. Built for Ruby on Rails Build Maps WithoutGoogle APIs Generate beautiful production-ready maps directly from your Rails backend. Fast rendering, zero external dependencies, … Continue reading The Original Sin, the Scorpion, and Local AI →

Building LLM-Powered Applications in Ruby: A Practical Introduction

Building LLM-Powered Applications in Ruby: A Practical Introduction December 12, 2025 (Based on Koichi Ito’s “Ruby × LLM Ecosystem” presentation at Ruby World Conference 2025)** Large Language Models (LLMs) have rapidly evolved from experimental chatbots to foundational components of modern software. They now augment workflows in customer support, content generation, data analysis, and even development … Continue reading Building LLM-Powered Applications in Ruby: A Practical Introduction →