I Stopped Judging React State Libraries by DX Alone. AI Compatibility Matters Now.

For years, my checklist for choosing a React state library was pretty standard: developer experience TypeScript support performance ecosystem Now I use one more filter: How well can an AI coding assistant understand, continue, and refactor the pattern? That shift changed what I value, and it is one reason I keep coming back to easy-model instead of defaulting to Redux or even today's more common lightweight choice, Zustand. The AI Workflow Changed the Rules The old assumption was simple: humans write the architecture, then humans maintain it. That is no longer true for a lot of teams. A more realistic workflow today looks like this: a human defines intent AI scaffolds a feature a human fixes the edge cases AI expands the next iteration In that loop, architecture becomes communication. Not just communication between teammates, but communication between humans and models. If the codebase hides intent behind too many disconnected layers, the AI starts guessing. And when AI starts guessing