parallel-agents

Use multi-agent orchestration when complex tasks require diverse domain expertise and comprehensive analysis that a single agent cannot achieve. It is ideal for breaking down large problems into sub-tasks for specialized agents like security auditors and test engineers.

Multi-agent orchestration coordinates specialized AI agents, like security auditors and backend specialists, to analyze code sequentially or in parallel. It passes context between agents and synthesizes their findings to complete comprehensive code analysis tasks.

Task decomposition breaks down large software engineering problems into manageable sub-tasks. You assign these sub-tasks to specialized agents, such as frontend specialists or test engineers, enabling diverse domain expertise to process complex workflows in parallel.

Yes, multi-agent orchestration can audit a web application's security posture by deploying a security auditor to review configurations, a backend specialist to check API endpoints, and a frontend specialist to examine UI vulnerabilities.

Context passing in a multi-agent workflow shares execution state and findings between sequential or parallel agents. This ensures specialized agents build upon previous analysis, culminating in a unified synthesis of all domain-specific findings.

Use multi-agent orchestration when complex tasks require diverse domain expertise and comprehensive analysis that a single agent cannot achieve. It is ideal for breaking down large problems into sub-tasks for specialized agents like security auditors and test engineers.