Mohammed Sayagh

Instruction files can either enhance or hinder AI-agent performance in code generation, challenging the assumption that more guidance always leads to better outcomes.

Nearly half of AI-generated code fixes are rejected, revealing significant inefficiencies in current AI coding agents that could waste developer time and resources.

AI coding agents are surprisingly bad at logging, requiring humans to silently fix 72.5% of their logging mistakes.