ultrawork

Running independent agent tasks in parallel requires splitting multi-step workflows like research, implementation, and validation into concurrent branches. This orchestration sends tasks to appropriate model tiers simultaneously, reducing overall turnaround time.

Parallel execution for multi-step workflows is the process of launching independent subtasks simultaneously instead of sequentially. It applies lightweight coordination to separate dependent from independent work, ensuring only safe tasks run concurrently.

Routing background jobs to appropriate model tiers involves sending simple, standard, or complex work to different models. This lightweight coordination requires explicit model selection and background execution for long-running operations.

Task orchestration for concurrent branches is needed when research, implementation, and testing tasks do not depend on each other. It coordinates these independent tasks concurrently, keeping only lightweight verification of build and test results at the end.

Yes, you can split a request into independent subtasks and run them simultaneously. This parallel execution launches independent agent tasks at the same time, separating dependent work so only safe tasks run concurrently.

Parallel execution for dependent tasks is limited because concurrent branches only support independent work. You must separate dependent from independent steps; otherwise, tasks requiring sequential validation cannot run in parallel safely.