parallel-agents

Multi-agent orchestration coordinates specialized agents by routing tasks through discovery, domain analysis, and final synthesis to consolidate findings into one actionable report. It applies structured context passing and ordered orchestration to review complex codebases from multiple perspectives.

Cross-domain problem solving benefits from specialist delegation by assigning focused agents to domains like security, backend, and DevOps. A final synthesis step then consolidates their parallel findings into coherent, actionable recommendations without losing context.

You need multi-agent orchestration for repository review when a task requires comprehensive analysis from multiple perspectives. It maps repository structure first, then assigns specialized review agents to different domains, and finally synthesizes findings into a single consolidated report.

Yes, specialist delegation uses focused agents for domains like security, backend, frontend, testing, and DevOps. This multi-agent orchestration routes domain-specific tasks through structured context passing to synthesize their findings into one coherent result.

Structured context passing works by routing complex tasks through ordered orchestration stages, starting with structure discovery, then delegating to specialist agents, and finally consolidating findings into a coherent synthesis for actionable recommendations.

Yes, multi-agent synthesis requires a final synthesis step to consolidate findings into actionable recommendations. This step consolidates parallel perspectives from specialist agents into one coherent result, ensuring no context is lost during complex feature analysis.