parallel-agent-pattern

To deploy multiple agents simultaneously, use an architectural pattern that launches specialized agents in a single message for concurrent execution. This pattern defines a standard deployment architecture with structured agent specifications for missions and scopes.

The best way to structure parallel processing is using a defined execution workflow with launch, collection, and synthesis phases. This pattern provides an agent specification template to define missions, search criteria, and output formats for comprehensive multi-perspective analysis.

You need concurrent agent execution for complex maintenance tasks requiring multi-perspective analysis, such as security audits across multiple code repositories. Deploying agents simultaneously for vulnerability scanning, dependency analysis, and compliance checks reduces processing time significantly.

Error handling for parallel agents includes robust protocols for agent failures, timeouts, and minimum viability thresholds. The pattern defines specific strategies to handle individual agent issues without compromising the overall collection and synthesis workflow.

Yes, concurrent agents are suitable for large-scale codebase triage and maintenance commands. The pattern includes performance optimization strategies designed specifically for scanning and triage operations requiring deep, multi-faceted analysis across extensive code.

Limitations of the parallel agent pattern include managing minimum viability thresholds when agents fail or timeout. Effective use requires careful mission scoping and output format specification to ensure the synthesis phase can accurately combine concurrent results.