How I Actually Use AI to Write Ruby on Rails Code

"Context is everything when coding with AI. There's so much noise about building apps in hours without knowing how to code. Here's what I've learned actually works after months of daily AI-assisted development: Build context in layers: Technical docs that capture your architecture Pattern synthesis from your existing code Comprehensive feature guides Review loops to catch AI slop"

"For new projects, start with documentation before code. MVP docs, brand guides, visual mocks-the model needs to know what you're building. I used this workflow to build Haab, a Rails app approaching launch in a few weeks rather than months. Being a great communicator matters more than being a fast coder. The AI does the typing. Your is to add clarity."

Context is essential for effective AI-assisted coding. Build project context in layers: technical documentation capturing architecture, pattern synthesis from existing code, comprehensive feature guides, and review loops to catch AI slop. Start new projects with documentation before writing code, including MVP docs, brand guides, and visual mocks so the model understands the product. This workflow accelerated development of Haab, a Rails app approaching launch in weeks rather than months. Prioritize clear communication over fast typing; AI performs the typing while humans supply clarity and oversight to ensure correct, maintainable results.

Read at Rubyflow