handoff

To transfer work context when dispatching tasks to a new AI agent, you need a structured handoff that captures the current state, including worktree and branch, alongside a concise summary of what was done and next steps.

A structured session handoff is a formatted context transfer that ensures smooth transitions between agents by capturing session progress, decisions, and pending tasks so no critical details are lost.

You generate a handoff summary by capturing the current work state, such as tickets and commits, and summarizing what was done, what remains, and the next steps into a ready-to-share format.

Yes, you can use this handoff approach for any collaborative AI agent session because it requires no specific dependencies to define state and summarize session progress for dispatching work.

The best way to ensure no critical details are lost when ending a session is to produce a ready-to-share handoff format that clearly defines the work state, pending tasks, and next steps for the next system.

The main limitation when capturing context for cross-agent dispatch is that the handoff relies entirely on accurately defining the current state and summarizing decisions; missing context cannot be recovered later.