Use Autohand Code to decompose a larger change into scoped agent tasks with non-overlapping files and clear validation.
Split work across implementation, review, and verification
Multi-agent Discovery and planning Planning Workflow
autohand -p "Split this feature into parallel agent tasks with owners and validation"
A parallel work plan with task ownership, integration order, and review risks.
Create an agent team for a large feature with Autohand Code is a multi-agent planning workflow that divides a broad feature into scoped implementation, review, verification, and integration tasks with clear ownership. ### At a glance | Question | Answer | | --- | --- | | Best for | large changes that span API, UI, docs, data model, tests, and release work | | Primary inputs | Feature brief, target repo, and affected product surfaces; Areas that can be edited independently; Shared files, integration risks, and validation requirements | | Autohand Code returns | A parallel work plan with task ownership, integration order, and review risks. | | Avoid when | shared files cannot be split safely or the integration order is unknown | ### How Autohand Code handles this workflow 1. Breaks the feature into non-overlapping task scopes. 2. Defines ownership, expected output, and validation for each agent. 3. Names shared files and integration order before work starts. 4. Returns a review path that catches conflicts and duplicate edits. ### Best inputs - Feature brief, target repo, and affected product surfaces - Areas that can be edited independently - Shared files, integration risks, and validation requirements ### Strong prompt autohand -p "Split this feature into parallel agent tasks with owners and validation" ### Autohand Code CLI options - Use `/team create`, `/tasks`, and `/message` when the work needs coordinated agent teammates. - Use `--teammate-mode tmux` or `--worktree` for isolated parallel workspaces. - When `slash_goal` is enabled, use `/goal queue` to sequence implementation, review, verification, and integration tasks without losing the main objective. ### Review before accepting A strong agent-team plan makes it clear which tasks can run independently and where integration must happen serially. ### Source and validation signals Autohand AI maintains this workflow as first-party product guidance for Autohand Code. Use the [Autohand CLI Playbook](https://github.com/autohandai/code-cli/blob/main/docs/AUTOHAND_PLAYBOOK.md), [CLI reference](/docs/working-with-autohand-code/cli-reference.html), and [configuration reference](https://github.com/autohandai/code-cli/blob/main/docs/config-reference.md) when choosing between interactive mode, command mode, auto-mode, feature-enabled /goal, /settings, skills, MCP, and permission settings. The related resources below link to product docs and tutorials for the workflow, and the final answer should name repository-specific files, commands, outputs, or docs that a reviewer can verify. ### Frequently asked questions ### What is Create an agent team for a large feature with Autohand Code? Create an agent team for a large feature with Autohand Code is a multi-agent planning workflow that divides a broad feature into scoped implementation, review, verification, and integration tasks with clear ownership. ### When should a team use Create an agent team for a large feature? Use it when one linear coding pass would hide coordination risks. ### What evidence should reviewers check for Create an agent team for a large feature? A strong agent-team plan makes it clear which tasks can run independently and where integration must happen serially.
Reference Agent Teams Coordinate multiple agents around scoped ownership and integration. /docs/working-with-autohand-code/agent-teams.html Tutorial Multi-Agent Team for Large Features Split a larger feature into parallel implementation and review tasks. /docs/tutorials/multi-agent-team.html Tutorial Multi-Tool Reasoning Combine tools and agent steps for complex work. /docs/agent-sdk/tutorials/200-multi-tool-reasoning.html