batch-stories

Parallel autonomous implementation of SmartSuite stories is orchestrated by launching one Claude Code worker per story, using isolated git worktrees and per-story branches to implement backlog features concurrently without manual coordination.

Team orchestration for concurrent Rails story execution works by creating a team with one task per story, preassigning owners, and spawning all deep-executor subagents in a single message to ensure true parallel processing across isolated worktrees.

You can monitor progress of parallel Claude Code workers by parsing PHASE N/10 messages and TaskList status during execution, which provides live visibility into each autonomous worker's workflow stage for orderly shutdown and tracking.

Batch story implementation works with Rails projects by using isolated git worktrees and per-story branches, spawning autonomous workers that each run the full Rails autopilot workflow to generate individual pull requests concurrently.

The best way to automate multiple backlog stories concurrently is fetching the next batch of stories and launching one autonomous deep-executor worker per story, each running in isolation with progress monitoring and optional post-batch quality passes.

You can run quality audits after parallel story implementation by performing optional post-batch quality passes, including dhh-review and bali-view-audit, once all autonomous workers complete their workflows and the orderly shutdown finishes.