DEVOPS
Visual diff gate that blocks Vercel promotion on UI regression
When a Vercel preview finishes building, captures screenshots of key routes, diffs them against the production baseline.
How it runs
The automated pipeline, trigger to output.
- TriggerVercel preview deploy readyVercel
- ActionCapture route screenshots in headless browserBrowserbase
- ActionDiff shots against production baselineBrowserbase
- LogicBranch: any route over drift threshold?
- ActionSet failing GitHub commit status to block promoteGitHub
- OutputPost verdict with before/after images to SlackSlack
What it does
This workflow turns every Vercel preview deploy into an automated visual gate. It loads a fixed list of critical routes in a headless browser, captures full-page screenshots, compares them pixel-by-pixel against the current production baseline, and decides whether the build is safe to promote. Regressions are surfaced with the exact before/after images so reviewers do not have to hunt.
When to use it
Use it on any frontend repo where an unreviewed CSS or layout change can silently ship a broken page. It is most valuable for teams shipping many previews a day who cannot eyeball every screen, and where a visual regression on checkout, pricing, or auth pages is a real revenue risk.
How it works
- 1A Vercel deployment-ready webhook fires when the preview build succeeds.
- 2A headless browser opens each configured route on the preview URL and captures screenshots.
- 3Each shot is diffed against the stored production baseline to compute a drift percentage.
- 4A branch checks whether any route exceeds the allowed drift threshold.
- 5If it does, the workflow posts a failing GitHub commit status to block promotion.
- 6Slack receives the verdict with side-by-side regression images attached.
Set it up
What you configure once, before turning it on.
- 1Connect VercelDeploys, runtime logs, analytics.
- 2Connect BrowserbaseHeadless browsers, sessions, replays.
- 3Connect GitHubRepos, issues, pull requests, actions.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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