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

RubyGems 4.0.13 and Bundler 4.0.13 Released with New Supply-Chain Security Protections

RubyGems 4.0.13 and Bundler 4.0.13 Released with New Supply-Chain Security Protections June 3, 2026 The RubyGems team has released RubyGems 4.0.13 and Bundler 4.0.13, bringing a combination of security improvements, bug fixes, and quality-of-life enhancements for Ruby developers. Built for Ruby on Rails Build Maps WithoutGoogle APIs Generate beautiful production-ready maps directly from your Rails … Continue reading RubyGems 4.0.13 and Bundler 4.0.13 Released with New Supply-Chain Security Protections

Turning a Generic LLM Into a Ruby-LibGD Expert (One Correction at a Time)

Turning a Generic LLM Into a Ruby-LibGD Expert (One Correction at a Time) June 2, 2026 What a day of conversations taught me about context, memory, and the limits of local AI models. A few days ago, I started what seemed like a simple experiment. I wanted a local LLM to help me work on … Continue reading Turning a Generic LLM Into a Ruby-LibGD Expert (One Correction at a Time)

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

Turning Years of Ruby Knowledge Into a Local Coding Assistant

Turning Years of Ruby Knowledge Into a Local Coding Assistant June 1, 2026 Introduction Over the years, most Ruby developers accumulate a vast amount of knowledge. Not just source code, but articles, documentation, experiments, bug fixes, pull requests, design decisions, and lessons learned from maintaining production systems. The problem is that this knowledge often remains … Continue reading Turning Years of Ruby Knowledge Into a Local Coding Assistant