Researchers identify configuration file flaws that degrade AI coding agent reliability and increase costs
According to CIO, researchers from Brazil's Federal University of Minas Gerais documented structural flaws in configuration files like Agents.md and Claude.md that guide AI coding agents, finding issues including context bloat, token waste, skill leakage, and conflicting instructions that reduce reliability and increase operational costs.
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