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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.

TL;DR I had Claude Code implement a very simplified version of Git in 13 languages. Ruby,...

Use with_options to apply shared options to validations, associations, callbacks, or routes.

How I replaced a find_or_create_by + lock + update_columns pattern with a single upsert call.

And what I tell my clients when they ask which framework to use for their Rails business.

Lead Programmer Mike Dalessio shares the benefits of multi-tenant databases and how his work with Fizzy led to the the Active Record Tenanted gem.

Finding the right model and prompt for your AI feature is harder than it looks. Spreadsheets help, until they don’t. So we did something about it.

How to delete all merged git branches locally with a single command. This one-liner has been in my zshrc since 2017 — I found it buried in the CIA's Vault7 l...

From Delayed Job to Solid Queue: How a 10-Year Rails App Finally Achieved Linear Scaling February 16, 2026 Lessons from Kaigi on Rails 2025 — Shohei Kobayashi In large Rails systems, background job…

Building a modern custom select with base-select.

Skills I use with Claude for shaping. Contribute to rjs/shaping-skills development by creating an account on GitHub.

In Memento, Leonard wakes up every morning with no memory of yesterday. He doesn't know where he is. He doesn't know what he did. The only things he trusts are the tattoos on his body. AI coding works the same way. Every session is a fresh wakeup in a motel

The same pattern Rails uses for Rails.env.production?

Build a production-grade personalized search engine entirely within Postgres using BM25 retrieval and vector-based reranking, no external infrastructure required.