parallel

You can orchestrate parallel development tasks by launching multi-agent pipelines that execute isolated worktree agents concurrently. This automates worktree setup, implementation, testing, and PR generation for independent features.

Multi-agent task orchestration is the automated coordination of isolated worktree agents that execute implement, check, finish, and create-pr phases concurrently. It allows teams to develop several independent features simultaneously without manual context switching.

Yes, automating worktree pipelines requires a .trellis workflow, task scripts, and a Python execution environment. These dependencies are necessary to run the orchestration scripts that manage concurrent agents.

You can monitor parallel agents using built-in monitoring commands that let users track pipeline status, view logs, and clean up worktrees. These commands provide visibility into isolated agents executing implementation and PR phases.

Yes, the pipeline supports both plan-based and manual configuration options for complex or simple features. This allows you to automatically generate task directories with PRDs and context files or manually define the execution parameters.

You should avoid parallel multi-agent pipelines when developing interdependent features that require shared context or sequential implementation, as this orchestration approach is designed for coordinating independent features in isolated worktrees.