ENGINEERING
Flake vs. Real-Error Correlator: Cross-Check CI Failures Against Sentry
When a GitLab pipeline fails, checks Sentry for matching production errors to decide if the failure reflects a real bug; if not, treats it as flaky and opens a quarantine MR…
How it runs
The automated pipeline, trigger to output.
- TriggerGitLab pipeline failure webhookGitLab
- ActionExtract failing test error signature from logsGitLab
- ActionSearch Sentry for matching production errorsSentry
- LogicBranch: correlated prod error vs. clean
- ActionEscalate as regression issue if correlatedGitLab
- OutputOpen quarantine MR + Linear flake ticket if cleanLinear
What it does
This agent avoids quarantining tests that are actually catching real bugs. On a GitLab pipeline failure it extracts the error signature and queries Sentry for matching production events. If the same failure is hurting users in prod it escalates instead of skipping; if Sentry is clean it treats the failure as flaky and quarantines it.
When to use it
Use it when your test failures sometimes mirror genuine production incidents and a naive skip would hide an active outage. The Sentry cross-check is the safety gate before any quarantine.
How it works
- 1A GitLab pipeline-failure webhook fires the trigger.
- 2The flow extracts the failing test's error signature from the job log.
- 3A Sentry query searches recent production events for a matching error fingerprint.
- 4A logic branch splits on whether a correlated prod error exists.
- 5If correlated, it opens a GitLab issue flagged as a real regression for immediate triage.
- 6If clean, it opens a GitLab quarantine MR and a Linear flake ticket noting the absence of prod impact.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect SentryErrors, performance, releases.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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