superpowers-dispatching-parallel-agents

You can dispatch independent tasks to separate AI agents for parallel execution. This agent-per-domain pattern allows concurrent investigation of disjoint subsystems, aggregating summaries to accelerate debugging without shared state conflicts.

Coordinating debugging across disjoint subsystems is best handled by dispatching one agent per problem domain. This multi-tasking approach runs concurrent investigations and enforces an agent-per-domain pattern to aggregate summaries safely.

Yes, you can use parallel execution to fix separate failing tests concurrently. The orchestration dispatches each independent failure to its own agent, preventing shared state interference while providing a safe integration review.

Agent dispatching for parallel task execution applies when you have two or more independent failures or subsystems that can be worked on concurrently. It enforces an agent-per-domain pattern to avoid interference during multi-tasking.

The integration review process provides a safe aggregation of summaries after parallel agent execution. It evaluates fixes from each dispatched agent to avoid interference across subsystems before merging the concurrent investigation results.