TICKET MANAGEMENT

Dedupe Sentry errors into GitHub Issues with breadcrumb seeding

On a new Sentry error group, search open GitHub Issues for a duplicate; reopen and update the match, or create a GitHub Issue pre-filled with breadcrumbs, release, and a minimal…

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry new issue webhookSentrySentry
  • LogicBuild search key (type + message + culprit)
  • ActionSearch GitHub Issues (open + recently closed)GitHubGitHub
  • LogicBranch: open match, closed match, or none
  • ActionComment, reopen-with-regression-note, or create seeded issueGitHubGitHub
  • OutputAttach GitHub issue link to Sentry groupSentrySentry

What it does

Keeps your GitHub issue tracker free of duplicate crash reports. A new Sentry group either gets folded into an existing GitHub Issue or becomes a fresh, well-formed issue with the debugging context engineers actually need.

When to use it

For teams that triage bugs in GitHub Issues rather than a dedicated tracker. Especially useful when a previously fixed bug regresses and you want the old issue reopened instead of a brand-new ticket.

How it works

  1. 1Sentry sends a webhook when it creates a new issue.
  2. 2The flow builds a search key from the exception type, message, and culprit.
  3. 3It queries the GitHub Issues search API (open and recently closed) for that key.
  4. 4Branch on the result: an open match gets a new comment with occurrence count and release; a closed match is reopened with a regression note.
  5. 5If nothing matches, it opens a GitHub Issue seeded with the stack trace, breadcrumb timeline, affected release, and a repro outline, tagged `from:sentry`.
  6. 6It links the GitHub issue number back onto the Sentry group.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SentryErrors, performance, releases.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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