DEVOPS

Visual-regression gate on Vercel previews with GitHub status

Captures screenshots of key pages on each Vercel preview, diffs them against approved baselines.

CategoryDevOps
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel preview deployment readyVercelVercel
  • ActionScreenshot critical routes in browserBrowserbase
  • ActionDiff against baselines in S3AWS S3
  • LogicAny route over diff threshold?
  • OutputWrite pass/fail commit status to PRGitHubGitHub

What it does

This workflow adds an automated visual-regression check to your Vercel preview pipeline. For every preview deploy it loads a list of critical routes in a real browser, screenshots them, and compares each against a stored baseline image. The pixel-diff result becomes a GitHub commit status, so an unexpected visual change keeps the PR's merge button red until a human signs off.

When to use it

Use it when CSS or component refactors keep slipping visual breakage into production and you want a required check that catches layout shifts before merge.

How it works

  1. 1A Vercel deployment-ready webhook provides the preview URL and the commit SHA.
  2. 2A Browserbase step navigates to each configured route and captures full-page screenshots.
  3. 3The screenshots are diffed against baselines stored in S3; a percentage-changed value is computed per route.
  4. 4A logic branch checks whether any route exceeds the allowed diff threshold.
  5. 5An action posts a GitHub commit status (success or failure) against the PR's SHA, with the diff summary in the description.
  6. 6On failure, a Slack note links the diff images so a reviewer can approve or reject.

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 AWS S3Buckets, objects, signed URLs.
  4. 4
    Connect GitHubRepos, issues, pull requests, actions.
  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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