ultrawork

You can run multiple independent coding tasks concurrently by using a parallel execution engine that spawns multiple agents simultaneously. This approach significantly reduces overall completion time for high-throughput task management compared to sequential execution.

Smart model routing optimizes parallel execution by directing tasks to appropriate AI model tiers based on complexity. You must explicitly pass model parameters to route tasks to Haiku, Sonnet, or Opus tiers for cost and speed optimization.

Yes, you can run long-duration operations like builds and installs in the background. The parallel execution engine supports background operations, allowing long-running tasks to process without blocking other concurrent agent execution.

Yes, parallel task execution requires explicit model parameter passing for each agent. You must specify which AI model tier to use when delegating concurrent tasks to optimize throughput and routing efficiency.

You should avoid using a parallel execution engine for dependent tasks that require sequential execution. It is designed specifically for scenarios where multiple independent tasks can be executed concurrently without inter-task dependencies.