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At AI Engineer New York, Anthropic introduced a new feature called dynamic workflows (flows), defined as a multi-agent orchestration approach for high-load tasks: a lead agent draws up a plan and writes the orchestration program, launches sub-agents, collects results, and manages the flow of information, so developers no longer need to configure the coordinator and sub-agent roster themselves. The feature lives in Claude Console, and developers can still pass in preconfigured specialized sub-agents in the agent configuration. The speaker said flows cost far more than single-agent approaches but are better at finding all the details, and that developers can set a session budget, though the model does not know its budget while running.
At AI Engineer New York, Anthropic introduced a new feature called dynamic workflows (flows), defined as a multi-agent orchestration approach for high-load tasks: a lead agent draws up a plan and writes the orchestration program, launches sub-agents, collects results, and manages the flow of information, so developers no longer need to configure the coordinator and sub-agent roster themselves. The feature lives in Claude Console, and developers can still pass in preconfigured specialized sub-age
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