Stanford researcher argues AI agents should skip filesystem abstraction

A Stanford computer scientist questions the conventional wisdom of building complex filesystem layers for AI agents, suggesting the approach adds unnecessary friction. The insight could matter for indie makers building agent frameworks or automation tools—simpler foundations might mean faster iteration and fewer architectural regrets.