PROJECT MANAGEMENT

Open PR Review Handoff to the Next Region

At shift end, finds pull requests still awaiting review or with unresolved comments and hands them to the incoming region with a per-PR baton note in Slack.

CategoryProject Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOutgoing region's shift-end schedule fires
  • ActionQuery GitHub for open PRs needing review or changesGitHubGitHub
  • LogicFilter out drafts and already-mergeable PRs
  • ActionWrite a per-PR baton note with AIOpenAI
  • OutputPost the review handoff to the next region's SlackSlack

What it does

Keeps code review moving around the clock. When a region wraps, it scans GitHub for PRs that are still open, awaiting review, or carrying unaddressed feedback, then writes a short handoff note per PR and posts them to the next region's review channel so nothing waits a full day for eyes.

When to use it

For engineering squads where review latency is the bottleneck and reviewers are spread across timezones. Use it when you want the incoming shift to inherit a clear, deduplicated review queue rather than rediscovering stalled PRs themselves.

How it works

  1. 1A scheduled trigger fires at the outgoing region's shift end.
  2. 2Queries GitHub for the repo's open PRs filtered to review-requested or changes-requested states.
  3. 3A logic step drops drafts and PRs already approved-and-mergeable, keeping only ones that genuinely need the next region.
  4. 4An AI step writes a per-PR baton line: what it does, what's blocking merge, and who should look.
  5. 5Posts the grouped review handoff to the incoming region's Slack channel, linking each PR.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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