ENGINEERING

Vercel preview visual regression gate with PagerDuty escalation

Screenshots key pages on a Vercel preview, compares them against the Figma design baseline.

CategoryEngineering
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel preview deployment readyVercelVercel
  • ActionScreenshot configured pages on previewBrowserbase
  • ActionPull baseline frames from FigmaFigmaFigma
  • LogicBranch on visual drift threshold
  • ActionOpen PagerDuty incident on major driftPagerDutyPagerDuty
  • OutputPost diff images to Slack for triageSlack

What it does

When a Vercel preview deploys, this workflow captures screenshots of designated pages, compares them to the approved Figma frames, and quantifies visual drift. If drift crosses your threshold it escalates: a PagerDuty incident for the on-call front-end engineer and a Slack alert with side-by-side diff images.

When to use it

Use it when unintended UI regressions are a recurring pain and you want preview deploys to catch layout or styling drift against the source-of-truth designs before review, with real escalation when something breaks badly.

How it works

  1. 1A Vercel preview-ready webhook provides the preview URL.
  2. 2A browser session screenshots each configured page on the preview.
  3. 3The workflow pulls the matching baseline frames from Figma and computes a per-page diff score.
  4. 4A logic step branches on the threshold: minor drift is logged, major drift escalates.
  5. 5On major drift it opens a PagerDuty incident and posts the diff images to Slack for triage.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect BrowserbaseHeadless browsers, sessions, replays.
  3. 3
    Connect FigmaFiles, frames, comments, assets.
  4. 4
    Connect PagerDutyIncidents, on-call, escalations.
  5. 5
    Connect SlackChannels, DMs, threads, mentions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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