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rbenv vs rvm vs asdf vs mise vs chruby vs direnv

An Open Source Claude Code skill based on our 60,000+ hours of Rails upgrade experience. Learn how our opinionated methodology teaches Claude Code to upgrade Rails, fast.

RSpec model specs: 6 minutes for 3,780 examples. Minitest model tests: 66 seconds for 9,835 tests. Both parallel. I built a 6-gate multi-agent pipeline in Claude Code to make the migration work.

A production guide to building multi-tenant SaaS with Rails 8 — subdomain routing, custom domains, and automatic SSL with Caddy's on-demand TLS.

One of the most frequent code smells in Rails is an excessive use of inheritance. A serious drawback from using inheritance to achieve polymorphism is the implicit coupling it creates between parent and child classes.

I built a system that builds the system. 4 hours from idea to production. Here's my full AI coding workflow for Rails.

Large Rails monoliths burn millions of tokens per AI session. These 5 architectural changes cut costs and boost AI suggestion quality by 3-4x.

From the “Entrepreneurship without the fantasy” desk

Can Ruby Read an X-Ray? Building a Medical Image Processor March 23, 2026 Published on RubyStackNews Nobody expects Ruby to process medical images. That is exactly why I tried it. This article is a…

Custom form helpers and builders can help reduce fragmentation if every developer in the team solves the same problem differently.

Learn how to add events to your calendar with a bridge component

I built a full analytics dashboard for my Rails blog — unique visitors, bounce rate, SVG charts, geolocation — with no third-party scripts. Here's exactly how I did it with Claude Code and Ahoy.

A step-by-step guide to deploying a Rails 8 application with Kamal 2, the Solid stack (SQLite, Solid Queue, Solid Cache, Solid Cable), Ansible, and Hetzner — from bare server to production.

Haptic feedback for the mobile web.

Use inflect.acronym to keep API, SMS, and other acronyms correctly cased in class names and autoloading.

My legacy Rails app playbook. After 50+ engagements, here's the exact process, tools, and stakeholder questions I use in week one.

I love a good side-project. Like most geeks, I have a tendency to go down rabbit holes when faced with problems - give me a minor inconvenience and I’ll happily spend weeks building something far more elaborate than the situation warrants. There’s joy in having a playground to explore ideas and “what ifs”; Building things just for the sheer hell of it, as Richard Feynman put it “The Pleasure of Finding Things Out”.

Skills for developers from the product manager playbook

Minha namorada é influencer de games, anime, cosplay e cultura pop. Faz entrevistas, cobre convenções, produz conteúdo pra múltiplas plataformas, negocia com patrocinadores. É uma operação profissional de uma pessoa com uma equipe enxuta. E como toda operação profissional, ela precisa de dados. O problema é que coletar dados de redes sociais é trabalho braçal. Abrir Instagram, YouTube, X, olhar números, comparar com concorrentes, checar calendário de eventos, monitorar patrocinadores, ler comentários, calcular engajamento, decidir preço de publi. Tudo manual, tudo repetitivo, tudo consumindo tempo que deveria ir pra criação de conteúdo.

Traditional keyword search is fundamentally limited—it can only match exact words or their basic variations. Search for "customer pain points" and you'll miss documents titled "User Frustrations" or "Client Challenges," even though they're semantically identical. This limitation becomes critical when managing large document repositories where users need to find information based on meaning, not memorized keywords. The solution is semantic search using vector embeddings, which represent text as mathematical vectors that capture conceptual similarity. In previous articles, we explored how ruby_llm simplifies working with AI providers for function calling and resilient architectures. Now we'll leverage ruby_llm's embedding capabilities to build semantic search with PostgreSQL's pgvector extension—creating a system that finds "churn analysis" when users search for "why customers leave."

[30 min read] One of my priorities this quarter was running a few AI pilot experiments. This was one of them. When I mentioned the project to a teammate, h...

Aggregating models into value objects with `composed_of`.

What happens when you deploy Solid Cache, Solid Cable, and Solid Queue to a single-database host that runs db:migrate instead of db:prepare — and how to fix it.

How we cut a test suite time from 40 minutes to 4 by upgrading Ruby/Rails, fixing slow tests, and enabling parallelization, dramatically improving developer experience and CI costs.

I’ve been using Hotwire in production since the beta release of Turbo, and it’s changed the way I build web apps. It’s a great way to get SPA-like interactivity at a fraction of the complexity.