parallel-agents

Multi-agent orchestration coordinates specialized AI agents for a full-stack security audit by breaking down the task into sub-tasks. A security-auditor, penetration-tester, and backend-specialist execute in parallel and synthesize results into a single report.

Multi-agent orchestration coordinates specialized agents to perform comprehensive code analysis. You need it when a task requires diverse expertise beyond a single agent's capabilities, such as executing sequential and parallel reviews with context passing.

Yes, you can pass context between agents running in parallel. The orchestration framework facilitates sequential and parallel agent execution with context passing to enable comprehensive feature reviews and security audits.

Multi-agent workflow execution supports both sequential and parallel processing. This enables complex task decomposition, allowing specialized agents to execute concurrently or in order while sharing context for comprehensive analysis.

The best way to decompose complex codebase tasks is using an orchestrator agent to break down large problems into manageable sub-tasks. It assigns these sub-tasks to specialized agents like frontend, backend, and testing specialists for parallel execution.

Use a multi-agent orchestration workflow instead of a single agent because it streamlines complex tasks by coordinating specialized agents. This allows for comprehensive analysis and execution that a single agent cannot achieve independently.