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

Running AI Locally for Ruby Development: A Practical Guide with Ollama, Aider, and Your Own Codebase

Running AI Locally for Ruby Development: A Practical Guide with Ollama, Aider, and Your Own Codebase May 28, 2026 Ruby Stack News β€” by GermΓ‘n Silva There's a quiet revolution happening in developer tooling, and it doesn't require a cloud subscription, an API key, or sending your proprietary code to someone else's server. Over the … Continue reading Running AI Locally for Ruby Development: A Practical Guide with Ollama, Aider, and Your Own Codebase

The AI Art Competition That Nobody Won

The AI Art Competition That Nobody Won April 2, 2026 πŸš€ See the LIVE DEMO in action MapView Render maps directly from your backend no external APIs required. Fast, controlled, and production-ready. Try the demo β†’ fter teaching different AIs the ruby-libgd interfaces, I proposed a competition: Who could create the most creative and beautiful … Continue reading The AI Art Competition That Nobody Won

The Joy of Small Scripts: Automating Ruby Community Events

The Joy of Small Scripts: Automating Ruby Community Events March 8, 2026 For many developers who experienced the early days of the hacker culture and the free software movement, programming once had a different rhythm. It was exploratory. Curious. Creative. Developers wrote small tools, scripts, and experiments simply because they could. Those scripts often solved … Continue reading The Joy of Small Scripts: Automating Ruby Community Events

Neither Too Much nor Too Little: A β€œTouch Base” on the Current State of AI

Neither Too Much nor Too Little: A β€œTouch Base” on the Current State of AI February 23, 2026 Motivated by the many comments β€” some fearful, others excessively enthusiastic β€” about artificial intelligence, I set out to β€œtouch base”: to ground the discussion with a personal perspective on this tool which, no matter how useful … Continue reading Neither Too Much nor Too Little: A β€œTouch Base” on the Current State of AI

🧠 RubyKaigi 2024: A Deep Technical Shift in Ruby’s Standard Library (With Real Examples)

February 20, 2026 RubyKaigi 2024 β€” Historical ContextAlthough this presentation discusses Ruby 3.4–3.5 and the ecosystem has already moved forward to Ruby 4 by 2026, the strategic shift it describes β€” reducing the traditional standard library and externalizing functionality as gems β€” represents a fundamental change in Ruby’s philosophy rather than a version-specific roadmap.Understanding this … Continue reading 🧠 RubyKaigi 2024: A Deep Technical Shift in Ruby’s Standard Library (With Real Examples)