MCP standardized tool calling for agents but breaks down once agents start mutating state. In this episode, Yuval sits with Eran Gat from AI21 to dig into what happens when writing agents run in parallel, why shared environments fall apart, and how workspace isolation becomes a missing execution layer. Using real coding workloads and benchmarks, we walk through the architectural trade-offs behind making concurrent agents actually work.