dispatching-parallel-agents

To run parallel tasks concurrently, you dispatch multiple agents with self-contained prompts and defined deliverables. This approach manages task scope and agent configuration to execute independent research or implementation simultaneously without conflicts.

Preventing edit conflicts during concurrent code review involves using worktree isolation strategies. By keeping parallel agents scoped to non-overlapping project modules, you ensure simultaneous execution remains efficient and prevents lost results.

Prompt engineering for parallel agents requires creating self-contained prompts with defined deliverables. Each agent receives an independent scope ensuring that concurrent execution across non-overlapping project areas remains efficient and avoids integration conflicts.

Yes, you can automate workflow tasks to research multiple unrelated code modules simultaneously. The process dispatches parallel agents configured for non-overlapping project areas, then collects and integrates the results to speed up simultaneous research.

Integrating results after simultaneous execution requires a framework for result collection and unification. After parallel agents complete their defined deliverables, the framework merges outputs to prevent conflicts and ensure efficient task integration.