parallel-agents

You orchestrate multi-agent workflows by defining a concrete coordination plan that assigns domain-specific tasks to specialized agents, enabling them to share context and synthesize findings into a unified report.

Multi-agent synthesis aggregates findings from all participating specialized agents into a single actionable report, enabling holistic architecture analysis without relying on external scripts within Claude Code.

Yes, you can run parallel agent workflows with context sharing for security audits. This ensures coherent outcomes by maintaining shared state across agents and synthesizing their diverse expertise.

No, multi-agent orchestration enables holistic end-to-end feature evaluations directly within Claude Code's environment, eliminating the need for external scripts by wiring orchestrator patterns natively.

Multi-agent workflows are resume-friendly, maintaining state and reusing prior context across sessions for iterative improvements without losing the orchestration progress or synthesized findings.

Use sequential agent chains when later domain tasks depend on prior findings, and parallel workflows when independent expertise is needed, with both patterns supporting context sharing for coherent synthesis.