codex-code

Parallel coding agents accelerate software delivery by decomposing a task into subtasks, assigning them to multiple agents, and running them simultaneously in isolated git worktrees before aggregating the unified results. This reduces time-to-delivery and cognitive load.

Git worktree isolation works by assigning each parallel coding agent its own isolated working directory, preventing file conflicts and enabling scalable parallel execution without agents overwriting each other's changes during the orchestration flow.

Yes, an orchestrator can automatically break down a large coding task by analyzing the prompt, splitting it into manageable subtasks, and assigning each subtask to a separate agent for autonomous execution before merging the final outputs.

The best way to aggregate parallel agent outputs is by enforcing a shared JSON schema for per-agent results, then merging those structured outputs into a single execution report complete with diagnostics, summaries, and post-run validation hooks.

Handling errors in a coding agent swarm involves structured error handling within the orchestration flow, utilizing designated resume and retry paths to recover failed subtasks, and triggering integration hooks for post-merge validation.

Git worktrees are required to run multiple Codex agents in parallel because they provide the isolated environments necessary to prevent conflicts and enable scalable parallelism across the swarm during autonomous task execution.