Why Coding Agents Fail—And How to Stop Them

As development teams increasingly delegate tasks to AI coding agents like GitHub Copilot, the ability to detect when these agents deviate from developer intent becomes critical before code reaches production. Research analyzing over 20,000 real coding sessions identified seven recurring failure patterns, most silently absorbed by developers rather than causing catastrophic system failures. This practical QA framework transforms that research into actionable detection checkpoints—from code scope verification to constraint validation—that teams can implement immediately to maintain safety and trust in AI-assisted development.