multi-agent-coordinator

You can coordinate multiple subagents by decomposing a plan into atomic sub-tasks and dispatching each to a fresh subagent. This prevents context bleed and enforces code reviews between tasks before aggregating the final deliverable.

Multi-agent orchestration with quality gates is a coordination process that manages independent subagents executing plan tasks. It enforces code reviews and lightweight checks between subtask iterations to ensure consistent results and fast iteration.

The best way to split large development plans is parallel task decomposition, which breaks plans into atomic sub-tasks executed by fresh subagents. This approach supports orchestrator, peer-to-peer, and pipeline coordination modes to fit project needs.

Yes, you can use peer-to-peer coordination for multi-agent task dispatch. The system supports orchestrator, peer-to-peer, and pipeline coordination modes, allowing flexible task assignment and deterministic dispatch across independent subagents.

Context bleed happens when a subagent retains information from previous tasks, causing inconsistent outputs. Assigning each atomic sub-task to a fresh subagent prevents this bleed and ensures deterministic task execution with defined interfaces.

Final aggregation for multi-agent deliverables consolidates outputs from all subtask executions into a coherent deliverable. It combines the results and generates an actionable report for stakeholders, completing the orchestration workflow.