We Built Fowler's AI Feedback Flywheel (Before He Named It)

We Built Martin Fowler's AI Feedback Flywheel Before He Named It On April 9, 2026, Martin Fowler published a detailed article describing a pattern he calls the Feedback Flywheel — a system for converting individual AI interactions into collective team improvement. We'd been running the same system for months. Not because we copied it. We hadn't read the article yet. We built it because it was the obvious solution to a real problem: every AI interaction generates useful signal, and almost every team throws that signal away. What Fowler Describes Fowler's Feedback Flywheel has two layers: signal types and shared artifacts . The four signal types: Context signals — facts about your codebase, domain, or project that the AI needs Instruction signals — prompts and phrasings that reliably produce good output Workflow signals — multi-step sequences that work well end-to-end Failure signals — cases where the AI did something wrong Those signals feed into four shared artifacts: Priming docs — sh