Spot on framing. The shift from standalone agents to orchestrated multi-agent systems mirrors how microservices evolved from monoliths — except the coordination problem is significantly harder when each node has probabilistic outputs. The biggest challenge I see is observability: how do you debug a system where Agent B's failure was caused by Agent A's subtly wrong intermediate reasoning three steps back? Tracing and evaluation frameworks for agent systems are still very immature compared to traditional distributed systems tooling.
AM
Archit Mittal
I Automate Chaos — AI workflows, n8n, Claude, and open-source automation for businesses. Turning repetitive work into one-click systems.
Spot on framing. The shift from standalone agents to orchestrated multi-agent systems mirrors how microservices evolved from monoliths — except the coordination problem is significantly harder when each node has probabilistic outputs. The biggest challenge I see is observability: how do you debug a system where Agent B's failure was caused by Agent A's subtly wrong intermediate reasoning three steps back? Tracing and evaluation frameworks for agent systems are still very immature compared to traditional distributed systems tooling.