That RailsWorld keynote didn’t just start a debate, it forced a reset on how we talk about Ruby on Rails in the age of AI. We’re live from the Buzzsprout podcast booth with Joël Quenneville (principal developer at thoughtbot and Bike Shed co-host) and Tom Rossi (Buzzsprout co-founder) to unpack what’s changing when many of us barely write code by hand anymore and instead “coach” an LLM agent.
We dig into the practical side of AI-driven development: why Rails conventions still matter, why generators suddenly feel new again, and how token efficiency and consistency become real engineering constraints. Then we get honest about software design. Do classic abstractions and object-oriented patterns help agents reason, or do they just get in the way when explicit code ships faster? We trade stories about broken integrations, duplicated methods that still pass tests, and why naming and domain language remain a steering mechanism for both humans and models.
From there, we zoom out to the future of software products. If personal AI assistants become the primary interface, the “UI” might shift toward CLIs, MCP-style structured endpoints, and agent-friendly actions instead of screens and forms. That opens big questions about APIs reopening, who controls the agent layer, and whether we’re about to repeat the same platform power cycles we saw in the API boom years.
If you’re building on Rails, experimenting with LLM coding tools, or wondering what your job looks like when the craft shifts from typing to verification, this conversation will help you think clearer. Subscribe, share this with a friend from your dev team, and leave a review with your hottest take on where AI is pushing Rails next.
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