parallel-impl

Parallel implementation is coordinated by assigning separate implementer and reviewer roles to independent tracks, using isolated worktrees to keep work contained while enforcing pre-flight gates and block-level approvals.

Preventing race conditions during concurrent development requires setting clear ownership boundaries, enforcing a hard concurrency cap on parallel tracks, and utilizing isolated external worktrees for each track.

Pre-flight validation for multi-track feature work is set up by running discovery briefs to define track scope, assigning tasks, and verifying validation commands before launching any concurrent implementation.

Isolated worktrees should be used for parallel code review and implementation whenever several independent tracks progress concurrently, ensuring testing discipline, review quality, and strict integration governance.

You can enforce a hard concurrency cap and escalation rules during parallel builds to control the number of active tracks and provide rescue pathways when implementation stalls occur.

Running parallel implementation without track gates risks sacrificing testing and review quality, causing integration confusion, overstepping ownership boundaries, and failing pre-flight validation checks.