parallel-agents

Multi-agent workflows coordinate domain-expert analysis by orchestrating discovery, synthesis, and remediation planning across security, backend, frontend, and testing tasks. This approach enables context sharing and unified synthesis outputs without relying on external scripts.

Multi-agent orchestration coordinates specialized agents to handle complex software engineering scenarios requiring discovery, analysis, and remediation planning. You need it when comprehensive tasks span multiple domains like security, backend, frontend, and testing.

Yes, multi-agent orchestration can run entirely within AI control without external scripts. This approach keeps all orchestration internal, enabling context sharing and unified synthesis outputs across domain-expert agents.

Orchestration patterns for security audits and feature reviews include comprehensive analysis, feature review, and security audit configurations. These patterns coordinate domain experts to synthesize findings across discovery, analysis, and remediation planning phases.

Yes, multi-agent orchestration supports context sharing across domain experts. It coordinates specialized agents for security, backend, frontend, and testing tasks, ensuring unified synthesis outputs from shared analysis contexts.

To start orchestrating multiple domain agents for comprehensive analysis, invoke the orchestrator to coordinate specialized agents across discovery, analysis, and synthesis phases. This approach handles security, backend, frontend, and testing tasks within a unified workflow.