Coordination Over Quantity: The Real Challenge of Scaling AI Agents

This article dismantles a dangerous assumption gaining traction in AI-assisted development: that productivity scales arithmetically with agent count. By exposing the parallels to distributed systems engineering, it reveals a critical insight for anyone building multi-agent systems—coordination overhead and consistency challenges dominate the benefits of raw parallelization. Teams betting on AI agent scaling need to invest in protocols and architecture, not just agent deployment.