orchestrating-parallel-workers

Parallel task execution with isolated agents requires decomposing work into independent units and dispatching them to separate agents. This prevents cross-contamination of context while executing concurrent code changes, research, or document generation tasks.

The parallel agent dispatch workflow follows a plan-to-dispatch flow: decompose requests into self-contained units, create and track agent prompts, distribute tasks concurrently, then centrally collect and synthesize results into a final outcome.

Workload splitting across multiple agents supports concurrent file generation, data gathering, and research tasks. Each independent unit runs in an isolated context window, enabling parallel execution without cross-contamination before results are synthesized.

Multi-agent orchestration works for parallel code changes by dispatching independent modifications to isolated agents. Each agent operates in its own context window, preventing cross-contamination while executing concurrent development tasks.

Avoid parallel task dispatch when work units have dependencies or require shared context. Parallel orchestration suits only independent tasks; sequentially dependent operations would break the isolation model and prevent proper result synthesis.