codex-orchestration

Parallel AI agents are orchestrated by decomposing tasks into sub-tasks and executing multiple workers concurrently via background PTY terminals. This workflow automation approach enables independent processing steps and synthesizes multiple AI perspectives into a single result.

Managing parallel processing for code reviews involves assigning separate worker agents to evaluate distinct aspects like clarity, correctness, security, and performance. The orchestration pattern then merges these concurrent findings into a single, prioritized report.

Yes, background PTY terminals facilitate the concurrent execution of codex workers. This allows the system to run multiple agents in parallel for tasks like scouting, research, review, or drafting, and then synthesize their independent outputs.

Orchestration patterns for triangulated reviews and serial chains are established by defining worker prompt templates and delegating sub-tasks across parallel agents. The orchestrator manages the execution flow and synthesizes results based on the selected pattern.

Multi-agent orchestration is needed when a task requires multiple AI perspectives or independent processing steps that exceed a single worker's capacity. It is ideal for comprehensive workflows requiring task decomposition, parallel execution, and result synthesis.

Yes, task delegation to parallel workers supports scouting and drafting workflows. The orchestration mechanism decomposes the work, assigns it to concurrent agents for independent execution, and synthesizes their outputs into a cohesive final draft.