Rails After the Robots: Chad Fowler on AI as the Next Abstraction

The Ruby AI Podcast

Veteran Rubyist and investor Chad Fowler sits down with hosts Valentino Stoll and Joe Leo to unpack why generative AI is less a magic trick and more the next big layer of abstraction. From his days rewriting Wunderlist in multiple languages to today’s LLM-driven code generation, Chad explains how small, well-typed modules, strong conventions and agent-based workflows could let humans design systems while machines write the code. The trio debate Python vs. Ruby, micro-services vs. monoliths, cognitive load, runtime performance (hello Haskell & Rust) and what it will take for legacy Rails apps—and our careers—to thrive in an AI-first future.

Mentioned In the Show:

• MountainWest Ruby Conference — Early Ruby conference where Chad delivered a keynote in 2007 about the future of Ruby.
• TLA+ — Formal specification language for verifying distributed systems, discussed in relation to formal verification.
• Quint Language — Open-source formal specification language resembling Ruby/JavaScript.
• OWL (Web Ontology Language) — Semantic Web language for defining ontologies, cited as inspiration for constraints.
• Extreme Programming Immersion (Object Mentor) — XP training course Chad attended, pairing with Kent Beck.
• Immutable Infrastructure — Concept Chad advocated, paired with his idea of "disposable code."
• Snyk — Security company that auto-generates PRs for dependency and vulnerability fixes, discussed as a precursor to agent workflows.
• Specification-Driven Development — You described industry momentum toward specification-driven code assistants.
• Claude on Rails — Obie's exploration of using Anthropic's Claude with Ruby on Rails.
• ESP32 Dev Kit — IoT hardware Chad experimented with, used in AI-assisted electronics projects.
• 3D Printing with ChatGPT — General reference to AI-assisted 3D design and printing workflows.