ENGINEERING

Sentry Crash Spike to Dependency Pin-Back PR

When Sentry shows an error spike tied to a recent dependency bump, this correlates the failing release to the package change and opens a GitHub PR that pins the dependency back…

CategoryEngineering
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry alert for spiking high-frequency issueSentrySentry
  • ActionResolve the release and diff its lockfile against the prior releaseGitHubGitHub
  • LogicConfirm a single suspect bump correlates with the spike window
  • ActionOpen a GitHub PR pinning the package back to last known-goodGitHubGitHub
  • OutputAlert on-call in Slack with the pin-back PR and evidenceSlack

What it does

Closes the loop between a bad upgrade and the rollback. When a Sentry issue spikes right after a release, it inspects which dependency changed in that release and drafts a GitHub pull request reverting that single package to its previous pinned version.

When to use it

Use it when an upgrade slips through CI but breaks in production — and you want a one-click revert path rather than a manual git archaeology session at 2am. Best for teams that deploy frequently and tag releases.

How it works

  1. 1A Sentry alert for a new high-frequency issue triggers the workflow.
  2. 2The flow reads the release the errors are attached to and diffs that release's lockfile against the prior release to find changed dependencies.
  3. 3A decision step checks whether exactly one suspect package bump correlates with the spike window; if not, it routes to human review instead of auto-acting.
  4. 4For a confident match it opens a GitHub PR pinning the package back, linking the Sentry issue and error count in the description.
  5. 5It pings the on-call channel in Slack with the proposed pin-back and the evidence.

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
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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