DEVOPS
Agentic QA triage that investigates failed previews and decides promote-or-hold
When a visual gate flags a preview, an agent gathers the diffs, recent commits, and error logs, judges whether the regression is intended or a real bug.
How it runs
The automated pipeline, trigger to output.
- TriggerVisual gate failure webhookHTTP webhook
- ActionFetch diff images, PR commits and code diffGitHub
- ActionPull recent client errors for routesSentry
- LogicAgent classifies: intended change or regression?
- ActionPromote deploy via Vercel if intendedVercel
- OutputOpen triaged GitHub issue if regressionGitHub
What it does
This workflow puts an agent in charge of triage after a preview fails its visual gate. The agent collects the failing screenshots, the PR's recent commits and diff, and any runtime errors from monitoring, then reasons about whether the visual change was an intended design update or an actual regression. It acts on that judgment instead of just dumping a red check on a human.
When to use it
Use it when your team is drowning in flagged previews and most are intentional changes that still need a human to dismiss. The agent does the first-pass investigation, promoting clearly-intended changes and escalating only the suspicious ones with a written rationale.
How it works
- 1An incoming gate-failure webhook starts the run with the preview and PR context.
- 2The agent fetches the failing diff images and the PR's commits and code diff from GitHub.
- 3The agent pulls recent client errors for those routes from Sentry.
- 4The agent reasons over the evidence to classify the change as intended or a regression.
- 5A branch routes on the verdict.
- 6Intended changes are promoted via Vercel; regressions get a triaged GitHub issue with the agent's rationale and evidence.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect SentryErrors, performance, releases.
- 4Connect VercelDeploys, runtime logs, analytics.
- 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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Run this workflow in your colony.
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