> ## Documentation Index
> Fetch the complete documentation index at: https://mux.coder.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Why Parallelize?

> Use cases for running multiple AI agents in parallel

A few reasons parallel workspaces matter:

* **Keep context aligned**: Create dedicated workspaces for threads like `code-review`, `refactor`, and `new-feature`.
* **Run long jobs in the background**: Kick off a slow, high-accuracy model for a deep investigation or refactor.
  * Streams resume after restarts or intermittent connection issues.
  * Mux shows an indicator when the model finishes.
* **Alternative answers**: Use [Best of N](/agents/best-of-n) when you want several independent answers to the same ask.
* **Split one task across lanes**: Use variants when the same prompt template should run across labels like GitHub issues, commit windows, or review lanes such as `frontend`, `backend`, `tests`, and `docs`.
* **Tangent management**: Fork or create a new workspace for side quests so the main thread stays focused.

In short: best-of explores alternative answers, while variants reuse one task template across labeled parallel slices.