Escritura sobre Ruby on Rails y la convergencia con la inteligencia artificial: cómo uso IA para escribir código real, cómo automatizo upgrades de Rails, y cómo despliego en producción con Kamal y Docker. También hay notas sobre arquitectura, seguridad y herramientas que construyo.
Publicado en July 17, 2026
Building a read-only email triage agent with Nexo, the new Ruby AI agent harness, one capability at a time across a multi-post series.
Continuar leyendo...Publicado en June 19, 2026
I used GLM-5.2 via Ollama Cloud and Oh-My-Pi to drive a Rails 6.1 to 8.1 upgrade — removing Node, moving to SQLite, and what the open model got right.
Continuar leyendo...Publicado en June 12, 2026
How Hotwire — Turbo Frames, Streams, full-page morph, and Stimulus — covers most of what a JavaScript framework was required for, and which tool to reach for.
Continuar leyendo...Publicado en June 5, 2026
Why I'm building Fragua — a Rails app that orchestrates AI agents through the whole arc of building software, with the work kept visible throughout.
Continuar leyendo...Publicado en May 25, 2026
Why I built recuerd0, a context memory layer for AI coding agents, on SQLite and FTS5 full-text search instead of embeddings, vector databases, or RAG.
Continuar leyendo...Publicado en May 4, 2026
Kamal isn't just for apps you build — here's the pattern for deploying prebuilt third-party Docker images to your own server.
Continuar leyendo...Publicado en April 16, 2026
Rails gives you secure defaults; authorization, rate limiting, CSP, and session hardening are decisions only you can make.
Continuar leyendo...Publicado en April 13, 2026
Rails security defaults cover CSRF, SQL injection, XSS, encrypted sessions, and more — here's what the framework handles before you write business logic.
Continuar leyendo...Publicado en April 7, 2026
The tools and workflow I use to ship Rails MVPs with Claude — from market research to spec-driven development — shared at the Claude Colima meetup.
Continuar leyendo...Publicado en March 13, 2026
Fifteen years with Rails, and it keeps proving itself — Maquina extends it with generators, AI tools, and UI components.
Continuar leyendo...AI-driven scanners now probe small Rails apps for credentials and known exploits. How I use Rack::Attack, fail2ban, Cloudflare, and AI audits to fight back.
A pause between parts 7 and 8: four places where running nexo_mail against a real inbox forced the design past what the earlier posts described.
Why the merge, dedupe and narration of three email extractions lives in a Nexo skill rather than in Ruby, and the seam for fixing model arithmetic.
