subagent-parallelization

Run independent subagent tasks in parallel by organizing them into defined parallelization groups. This concurrent execution reduces total execution time and coordination overhead for independent workflows like code review and security audits.

Parallelize subagent execution when tasks are fully independent, such as frontend and backend linting or unit and integration tests. Sequencing rules and guardrails ensure safe parallel execution by preventing dependency violations and race conditions.

Prevent race conditions and dependency violations during subagent orchestration by enforcing built-in guardrails. These sequencing rules ensure only independent tasks execute concurrently within defined parallelization groups.

Yes, you can group subagent workflows into parallelization categories like Analysis, Quality, and Sequential. Configuring these groups with a simple scheduler allows all non-dependent tasks within the group to execute concurrently.

Yes, parallel subagent execution works for concurrent code review and security audits. These independent tasks can execute simultaneously within the same parallelization group to significantly improve overall workflow throughput.

The main limitation of parallelizing subagent workflows is task dependency. If tasks rely on each other's outputs, they cannot safely execute concurrently and must follow strict sequencing rules to avoid race conditions and dependency violations.