Single agent vs multi-agent: when subagents are worth it

Single agent vs multi-agent is a trade-off between one shared context and several isolated ones. For many production setups in late 2026, Anthropic's Applied AI team now recommends defaulting to one agent loop with skills and tools loaded on demand, and keeping a subagent only when evals show it still beats the folded version — or when it truly... Weiterlesen: Single agent vs multi-agent: when subagents are worth it