parallel-plan-execution

To execute tasks in parallel across multiple Cursor agents, you can use a parallel execution workflow that decomposes large migrations into independent file changes and groups them into phases for maximum throughput.

The best way to plan a large migration for parallel execution is to perform dependency analysis to identify sequential versus parallel tasks, then generate a master summary and per-group plan files.

Yes, you can coordinate parallel execution for independent component updates by applying a copy-pasta reference system that enables rapid, parallelized interventions across multiple agents.

You identify sequential versus parallel tasks during a refactor by running dependency analysis on the planned work, which isolates independent file changes suitable for grouped execution in phases.

Parallel plan execution uses a plan hierarchy with per-feature execution plans and DRY reuse of plan files, so you manage separate plan files per group rather than per individual agent.

You should avoid using parallel agents for a code migration when the tasks cannot be decomposed into independent file changes, as the workflow relies on grouped work in phases to maximize throughput.