parallel-orchestrator

Task decomposition for parallel agents works by analyzing implementation requests, evaluating dependencies, and creating execution waves of independent streams. Each stream receives disjoint file scopes and clear ownership boundaries to ensure safe parallel execution without conflicts during multi-file changes.

Yes, you can use parallel orchestration for large refactoring projects. It applies to multi-file feature development and dependency analysis by breaking complex changes into independent streams, applying disjoint scope validation to manage safe parallel execution across the codebase.

The best way to manage task decomposition in agent-based coding workflows is to break complex implementation requests into parallelizable execution streams, evaluate dependencies, and establish review checkpoints before execution and after individual streams to ensure higher quality integration.

You should not use parallel agents for complex coding tasks when the implementation requests cannot be decomposed into independent streams with disjoint file scopes. Without safe disjoint scope validation and dependency analysis, parallel execution risks file conflicts and integration failures.

Yes, parallel orchestration integrates Codex reviews before execution, after individual streams, and during final integration validation. This review-driven development approach manages safe parallel execution and ensures higher quality results for coordinated multi-file changes.