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Multi-agent orchestration coordinates complex software work by delegating plan tasks to specialized sub-agents and running independent tasks in parallel. It ensures dependencies are preserved and applies verification gates after every change to reduce integration risk.

Verification gates enforce a mandatory post-delegation checklist including LSP diagnostics, build success, test passes, and line-by-line validation of every changed file. This ensures delegated tasks meet quality standards before integration into the main workflow.

Yes, you can resume failed task delegation using session_id-based bounded retries. This allows the orchestration to recover from specific task failures without restarting the overall multi-agent workflow, preserving previously completed work.

Notepad-based inherited knowledge maintains an ongoing trail of learnings, decisions, and issues to ensure consistency across delegations. This shared context prevents conflicting implementations when multiple sub-agents work on related modules.

Yes, plan-driven parallel orchestration requires a structured work plan to identify independent tasks, determine execution order, and delegate to specialized sub-agents. The plan enables parallel execution while preserving task dependencies for end-to-end feature delivery.

Avoid parallel agent orchestration for simple, single-step tasks that lack dependencies or require no validation, as the delegation and verification overhead outweighs benefits. It is designed for end-to-end feature delivery, refactors, and multi-module implementation requiring coordination.