agent-orchestration

Multi-agent coding coordination requires an orchestrator to decompose tasks into planner, worker, and reviewer roles. You can manage this by generating single-task delegation prompts with specific inputs, non-goals, and verification criteria to prevent duplicated work and chaotic merges.

To prevent subagents overwriting code during parallel execution, perform parallelism independence checks. This involves evaluating write-set overlap, dependency order, and merge costs before dispatching tasks to ensure safe, non-overlapping multi-agent workflows.

Verifiable delegation prompts are created using templates that specify inputs, expected outputs, non-goals, and blocking conditions. This low-ambiguity format allows the main agent to read resulting diffs and tests to decide whether to accept, follow up, or re-dispatch the task.

You need multi-agent orchestration for cross-module refactors, multi-step bug fixes, and research-to-implementation workflows. It is necessary when a main agent must maintain a global view while coordinating separate research, plan, execute, review, and verify phases across subagents.

Yes, task decomposition supports cross-cutting bug fixes by layering roles into planner, orchestrator, worker, and reviewer. It structures the workflow into research, plan, execute, review, and verify phases, producing orchestration records and verification gates for each subtask.

Verifying delegated coding tasks requires setting up verification gates where the main agent reads diffs, code, and test evidence. The agent then decides to accept, follow up, or re-dispatch the work based on the expected outputs and blocking conditions defined in the delegation prompt.