Originally published on AI Tech Connect.
From Subagents to Dynamic Workflows — What Changed in May 2026 If you have already read our guide on orchestrating Claude Code subagents in production, you know the core fan-out model: the main Claude agent spawns child agents via the Task tool, each child runs in its own context window, and results flow back to the orchestrator. That pattern works well for many cases. But it has a structural limitation that becomes painful as workflows scale. The fundamental issue is that static subagents are model-driven. The main agent decides when to spawn a child, how many to spawn, and in what order — at runtime, as part of its inference. There is no source-of-truth control flow definition you can inspect, version, or replay. If the workflow runs for three hours and fails at hour two, you start…
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