SUMMARIZATION

Auto-File a Linear Rollback Issue on Crash-Free Regression

When a Sentry release-finalized webhook arrives, evaluates the crash-free trend over the last three deploys and, if the new release regressed sharply, opens a Linear issue…

CategorySummarization
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry release finalized webhookSentrySentry
  • ActionRetrieve crash-free rates across last three releasesSentrySentry
  • LogicClassify regression severity; stop unless severe
  • ActionCompose narrative plus rollback recommendationOpenAI
  • OutputOpen a high-priority Linear rollback issueLinearLinear

What it does

The moment Sentry finalizes a new release, this workflow checks whether crash-free rates dropped versus the previous two releases. If the regression is severe, it writes up what happened and opens a triaged Linear issue recommending a rollback, so the decision lands in your backlog instead of someone's memory.

When to use it

Use it when a crash-free drop should become actionable engineering work automatically. Good for teams that treat stability regressions as ship-blockers and want a paper trail with an owner and severity.

How it works

  1. 1A Sentry release-finalized webhook triggers the run with the new release version.
  2. 2The flow retrieves crash-free session rates for the last three releases.
  3. 3A logic step classifies the regression as none, minor, or severe based on the three-point delta; non-severe outcomes stop here.
  4. 4An LLM step composes a regression narrative plus a rollback recommendation.
  5. 5A Linear issue is created with the narrative, the comparison numbers, and a high-priority label.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SentryErrors, performance, releases.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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