Rapidfy
Describe your app, get a production Rails app in seconds. Not a prototype.
Visit rapidfy.dev ↗Rapidfy is an AI-powered Rails application generator. You describe what you want in plain English, and it builds a complete, deployable Rails app with authentication, database, CRUD, and a production-grade component library included. I designed the agent architecture, built the scaffold pipeline, and wrote the component library it ships with. The whole thing is Rails, built for Rails developers.
The Problem
Every AI app builder generates React and Node. Bolt, Lovable, Replit, v0 all produce JavaScript prototypes that need a backend bolted on later. There is nothing for the 22,000+ companies running Rails. Cursor and Claude Code can write Rails code, but generating a full application from a prompt still takes extensive iteration, debugging, and token burn. You get code, not an app.
How It Works
Three paths to a working app. Pick a template like CRM, todo, or e-commerce and get a running app in 7 seconds. Describe something custom and the agent generates a spec, builds a plan, scaffolds the app, verifies every route, and fixes errors automatically in about 90 seconds. Fork and extend any generated app with your own code. Every app ships with Devise authentication, database migrations, models, controllers, views, and RapidRailsUI components wired together and ready to deploy.
What Makes It Different
It is the only AI builder that targets Rails. Generated apps are not prototypes. They have real databases, real authentication, real admin panels, and a tested component library. RapidRailsUI is bundled into every subscription so there are no hidden costs after generation. The agent uses golden templates as scaffolds instead of generating from a blank canvas, which means consistent, production-quality output every time. A built-in knowledge engine learns from every build and feeds proven patterns back into future generations.
Stack
Ruby on Rails 8, PostgreSQL, Devise, Stripe via Pay, Solid Queue. AI agent built on Anthropic Claude with prompt caching, a constitutional safety layer, and semantic verification. RapidRails UI components library with Tailwind, Turbo, and Stimulus. Deployed with Kamal to Hetzner.