claude-devfleet

You can orchestrate multiple Claude Code agents in parallel by dispatching them to isolated git worktrees. This allows independent coding tasks to execute simultaneously without file conflicts, automatically progressing dependent steps upon completion.

A DAG-based mission plan structures multi-agent software development tasks into a directed acyclic graph. It maps dependent coding steps so that downstream tasks auto-dispatch once upstream agents finish, ensuring correct execution order across parallel worktrees.

Automated merging and reporting for parallel coding tasks are managed through mission orchestration. The system auto-merges agent results from isolated worktrees and generates structured reports you can retrieve to review progress and share with stakeholders.

Yes, a Claude DevFleet MCP instance is required to orchestrate parallel agents. It provides the necessary interface to plan project DAGs, dispatch missions to isolated git worktrees, and retrieve status updates and detailed reports.

Yes, you can monitor progress and generate reports for multi-step software projects. After dispatching missions, you can check a dashboard and retrieve detailed structured reports using status and report retrieval commands for stakeholder review.

The best way to execute dependent coding tasks in parallel is creating a mission DAG from a prompt. This dispatches agents to isolated worktrees with automatic progression, handling approvals and merging from initial plan to final reports.