parallel-execution

To run parallel code reviews, an orchestrator launches multiple subagents simultaneously to evaluate features independently. It collects and aggregates the isolated findings into a coherent final assessment, reducing context-switches and accelerating comprehensive codebase analysis.

Parallel subagent execution is a technique where an orchestrator runs isolated agents concurrently to explore different parts of a codebase. Each agent maintains a separate context to prevent cross-contamination, and the orchestrator aggregates all findings into a single consolidated report.

No, parallel execution keeps each agent's context separate without shared state. This isolation prevents cross-contamination of findings during architecture analysis, ensuring independent viewpoints are preserved before the orchestrator consolidates the aggregated results into the main context.

The best way to orchestrate concurrent analysis without cross-contaminating results is to launch subagents in isolation without shared state. An orchestrator manages these independent analyses, collects the isolated findings, and presents the aggregated results in the main context for review.

Yes, you can use parallel agent execution for test coverage analysis and API exploration simultaneously. The orchestrator launches independent subagents for each task, keeping their contexts isolated, and then aggregates the diverse perspectives into a coherent final assessment.