PR queue and engineering metrics

The PR queue ranks every open pull request you can see and says why. Two automations act on it, both off until you turn them on, and engineering metrics give the four DORA figures for the team, never a person.

1:31 · narrated, with captions · Code reviewRead about Engineering metrics

Chapters

What it covers

Ranked P0 to P3
Auto-approve, off by default
DORA figures
Impact

The inline PR queue ranks open pull requests P0 to P3 with a reason, and engineering metrics give DORA figures, cycle time and AI authorship.

Read about Engineering metrics

Transcript

The narration as spoken, by chapter. Select a time to play the film from there.

Intro

inline's PR queue, and your team's engineering metrics.

PR queue

The PR queue ranks every open pull request you can see, from P0 to P3. And each row says why: your review is requested, a high-severity finding is open, CI is failing.

PR queue settings

Two automations act on the queue, both off until you turn them on: auto-approve low-risk pull requests, and close stale ones.

Auto-approve

inline approves only when every check passes: a clean review of the current head, a small change, no protected paths, a trusted author, and green CI.

Automation log

Every decision, approve or skip, is logged with each check it ran.

Engineering metrics

Engineering metrics give you the four DORA figures, from the deploys and pull requests you already have. Figures are for the team, never a person. See where cycle time goes, and how work by AI agents compares with work by people.

Impact

Impact credits only confirmed outcomes, and shows the arithmetic behind every hour saved.

Metrics settings

And a backfill brings in a year of history. inline. Review what matters first, and see how your team ships.

More films

All eleven films

Put it on one repository

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