SUMMARIZATION

Auto-file a Linear issue for Sentry release regressions

When a Vercel deploy raises the Sentry error rate past your gate, it summarizes the regression and opens (or updates) a prioritized Linear issue assigned to the deploy author…

CategorySummarization
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel production deploy succeedsVercelVercel
  • ActionFetch release-health deltas from SentrySentrySentry
  • LogicGate on regression size; map severity to priority
  • ActionPull regressing issues and stack tracesSentrySentry
  • ActionDraft issue title and regression briefOpenAI
  • OutputCreate or update assigned Linear issueLinearLinear

What it does

It watches production deploys, detects when a release regresses error rate or crash-free sessions in Sentry, and turns that into actionable work: a clearly written Linear issue with a summary, the offending stack traces, and a priority set from the severity of the delta. If an issue for the same release already exists, it updates it instead of duplicating.

When to use it

Use it when regressions need to become tracked, owned work rather than a Slack message that scrolls away. Good for teams that run triage out of Linear.

How it works

  1. 1A Vercel deployment-succeeded webhook provides the release and the author.
  2. 2Sentry returns release-health deltas versus the prior release.
  3. 3A logic step gates on the regression size and maps severity to a Linear priority.
  4. 4Sentry supplies the top regressing issues and their stack traces.
  5. 5An OpenAI step writes the issue title and body as a tight regression brief.
  6. 6The flow searches Linear for an existing issue for this release, then creates or updates it and assigns the deploy author.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect SentryErrors, performance, releases.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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