Researchers identify configuration file flaws in AI coding agents that bloat context and reduce reliability

According to CIO, researchers from Brazil's Federal University of Minas Gerais identified widespread structural issues in configuration files guiding AI coding agents such as Agents.md or Claude.md, including context bloat, skill leakage, and conflicting instructions that waste tokens and reduce agent reliability. The researchers proposed a catalog of configuration smells to address the problem.