Source: Engineering at Meta
Meta's engineering team found that overloading AI routing systems with comprehensive knowledge actually degrades performance—a result that challenges the "more data is better" assumption in agent design. By constraining what information routers see and forcing specialization in downstream agents, they achieved measurable efficiency gains. The finding suggests that cognitive bottlenecks aren't always problems to solve but sometimes constraints that sharpen decision-making. The trade-off between centralized orchestration and distributed, specialized task handling now has direct relevance for how companies architect multi-agent systems.