When AI Agent Rules Spiral: How Complexity Becomes Your Team's Hidden Tax

As AI agent systems scale in production, rule complexity grows exponentially, creating what developers call 'rule precedence hell'—a state where agent decisions are technically correct but operationally inexplicable to human debuggers. This cascading rule opacity transforms what once accelerated development into the primary production bottleneck, consuming more debugging time than the abstractions initially saved. Organizations deploying multiple agents must now account for this cognitive overhead as a core infrastructure cost, not a side effect.