CAFE(S) Framework Targets Context Gaps in AI Coding Agents
As AI coding agents move from code suggestions toward autonomous software-development tasks, researchers from DX, Capital One, GitHub, the University of Victoria and Google are proposing a framework for a less visible part of the AI stack: the quality of the context agents receive. Published in ACM Queue, CAFE(S) defines five dimensions—Clarity, Actionability, Fidelity, Efficiency…
