Weekly GitLab review-load fairness digest

This workflow turns the raw assignment history into a weekly leaderboard. It aggregates how many MRs each reviewer handled, their median time-to-first-review, and how deep their current backlog is, then renders a clear digest that highlights who is overloaded and who has spare capacity.

Use it when you want a recurring, data-backed view of review fairness rather than gut feel. It is ideal for an engineering manager who runs weekly health checks and wants the numbers handed to them automatically.

1. 1A weekly schedule trigger fires at a set time.
2. 2The workflow queries Postgres for assignment counts, turnaround times, and open backlog per reviewer over the trailing seven days.
3. 3A logic step ranks reviewers and flags anyone above the overload threshold or with stale backlog.
4. 4It pulls current open-MR titles from GitLab to enrich the flagged entries.
5. 5It formats a ranked digest with per-person stats and callouts.
6. 6The digest posts to the engineering-leads Slack channel.