Coming Soon
Rails LLM Course
Build production-ready LLM features in Rails. Not another Python tutorial translated to Ruby — this is Rails-first, built on patterns from real SaaS and regulated software.
For Rails developers who want to add AI features to their applications without switching stacks or wading through Python-centric tutorials.
What you'll build
- Streaming responses with Hotwire — real-time AI output without JavaScript complexity
- Tool use and agents — multi-step workflows where the LLM calls your Rails code
- RAG with pgvector — embeddings, vector search, and knowledge bases in PostgreSQL
- Structured outputs — getting reliable JSON from LLMs with validation
- Evals and testing — measure and improve AI feature quality systematically
- Production patterns — background jobs, cost control, error handling, and monitoring
Tech stack
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About the instructor
I'm Damian Galarza — a Senior Software Engineer at August Health building AI-powered clinical software, and former CTO at Buoy Software where I led engineering for FDA-cleared medical devices. I've been working with Rails for 15+ years and integrating AI into production systems since the early GPT days. This course shares the patterns I've learned shipping real AI features, not theoretical exercises.