parallel-agents

You can coordinate multiple AI agents by using orchestration patterns that enable both sequential and parallel execution, passing context between specialized agents to perform comprehensive code analysis and feature reviews.

Multi-agent orchestration directs specialized AI agents, such as security auditors and performance optimizers, to collaboratively handle different aspects of complex, multi-domain software engineering tasks for robust solutions.

Yes, you can perform security audits and performance optimization simultaneously by invoking domain-specific agents in parallel execution patterns, passing their findings to a synthesized report for comprehensive review.

Context passing between specialized agents allows findings from one agent, such as a security auditor, to be used directly as input for another, enabling sequential feature review workflows and synthesized reporting.

Yes, multi-agent workflow orchestration works without external dependencies, relying on a predefined set of internal domain-specific agents including security, backend, frontend, and testing specialists for execution.

Use parallel agent execution when analyzing a codebase from independent perspectives like security and quality, and use sequential processing when context passing between agents is required for downstream synthesis.