AI coding agents often prioritize rapid task completion by bypassing crucial software development practices like specifications, testing, and code reviews. This shortcut approach can severely compromise the reliability of scalable software. New methodologies centered on Agent Skills aim to correct this behavior by enforcing robust engineering standards in AI-driven development.