examples-auto-run

To automate example execution in parallel with per-script logs, use a pipeline that prebuilds packages, starts all demos concurrently, and routes output to isolated log files for capture and review.

The best way to rerun failed example scripts is to use a task orchestration utility that identifies failed entries from previous logs, auto-approves retries, and cleans up stale processes before restarting.

Deterministic task orchestration for pnpm workflows works by prebuilding example packages, starting demos in parallel, and collecting per-start logs to ensure consistent, reproducible execution outputs.

Yes, you can capture and tail logs for long-running examples by using start, stop, status, logs, and tail utilities that route per-script output to dedicated files during parallel execution.

No specific external dependencies are required to run the automation pipeline, as it relies on an included run.sh utility and support scripts to manage prebuilds, parallel starts, and log collection.

You should not use parallel execution for example scripts when demos require strict sequential ordering, share conflicting port resources, or lack proper cleanup mechanisms to prevent race conditions.