II.
Topic overview
Reference · livetopic:parallel-agent-execution
Parallel Agent Execution overview
Parallel Agent Execution as a cross-cutting topic - dispatching multiple agents concurrently to work on independent tasks. Covers ctx.parallel.all() and ctx.parallel.map() for fan-out dispatch, worktree isolation to prevent merge conflicts during parallel file edits, result aggregation and quality scoring across parallel branches, synchronization barriers before dependent phases, and failure handling when one parallel branch fails while others succeed. Enables significant throughput gains for decomposable tasks like multi-file refactoring or independent feature implementation.
Attributes
displayName
Parallel Agent Execution
description
Parallel Agent Execution as a cross-cutting topic - dispatching multiple
agents concurrently to work on independent tasks. Covers ctx.parallel.all()
and ctx.parallel.map() for fan-out dispatch, worktree isolation to prevent
merge conflicts during parallel file edits, result aggregation and quality
scoring across parallel branches, synchronization barriers before
dependent phases, and failure handling when one parallel branch fails
while others succeed. Enables significant throughput gains for
decomposable tasks like multi-file refactoring or independent feature
implementation.
Outgoing edges
applies_to1
- domain:software-engineering·DomainSoftware Engineering
Incoming edges
contains1
- domain:ml-ai·DomainML/AI
integrates_with3
- agent:devin·AgentProductDevin
- agent:vibe-kanban·AgentProductVibe Kanban
- framework:google-adk·FrameworkGoogle Agent Development Kit (ADK)
orch_applies_to2
- orch-primitive:multi-agent-dispatch·OrchestrationPrimitiveMulti-Agent Dispatch
- orch-primitive:concurrency-control·OrchestrationPrimitiveConcurrency Control