A developer sharing production experience argues that infinite loops in multi-agent AI systems stem from unclear authority structures rather than prompt engineering issues. The proposed solution treats agent networks as formal org charts with explicit reporting lines, designated mission owners, and manager-enforced termination authority—moving away from peer-to-peer agent architectures that lack clear stopping conditions.
Why it matters: As multi-agent systems become production-critical, understanding failure modes at the architectural level rather than the prompt level could shift how teams design agent coordination and prevent costly runtime failures.