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 “Touch Base” on the Current State of AI

Neither Too Much nor Too Little: A “Touch Base” on the Current State of AI February 23, 2026 Motivated by the many comments — some fearful, others excessively enthusiastic — about artificial intelligence, I set out to “touch 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 “Touch 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 — 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 — reducing the traditional standard library and externalizing functionality as gems — 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) →

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 →

Enhancing the Trix Editor in Rails with AI-Powered Orthographic Correction

March 14, 2025 Introduction When working with rich text editors in Ruby on Rails applications, enhancing usability is a key factor. Trix is a powerful WYSIWYG editor, but what if we could take it a step further by integrating AI-powered orthographic correction? In this article, I'll walk you through how I built a feature that … Continue reading Enhancing the Trix Editor in Rails with AI-Powered Orthographic Correction →

Build a Complete AI Chatbot with DeepSeek and Ruby – Full Code and Guide!

March 11, 2025 Introduction Artificial Intelligence (AI) chatbots are transforming the way we interact with technology, and with tools like DeepSeek, building an intelligent chatbot has never been easier. In this article, we’ll walk through constructing a full-fledged AI chatbot using Ruby and the DeepSeek API. You’ll get a working chatbot, complete with conversation history … Continue reading Build a Complete AI Chatbot with DeepSeek and Ruby – Full Code and Guide! →

Integrating DeepSeek API with Ruby

March 10, 2025 Artificial Intelligence is revolutionizing the way we interact with text, and DeepSeek provides a powerful API to harness its capabilities. Whether you're looking to correct grammar, generate poetry, or build AI-powered applications, this guide will show you how to integrate DeepSeek into your Ruby projects seamlessly. 💡 Want to Incorporate AI into … Continue reading Integrating DeepSeek API with Ruby →