ENGINEERING

AI-summarize a release regression and request Slack approval to promote

When a Sentry release shows a crash-free regression, an LLM summarizes the top new issues driving it and posts an interactive Slack approval request that links straight…

CategoryEngineering
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSentry release-health regression eventSentrySentry
  • ActionFetch top unresolved issues for the releaseSentrySentry
  • ActionSummarize root causes and user impactOpenAI
  • LogicConfirm regression exceeds alert threshold
  • OutputSend Slack approval request with Vercel linkSlack

What it does

Turns a raw crash-free drop into a human-readable decision. When Sentry flags that a new release is less healthy than baseline, this workflow asks an LLM to summarize the specific new error issues responsible, then sends an approval-style Slack message to your release channel. The on-call lead can read what broke and decide whether to promote or hold the Vercel deployment.

When to use it

Use it when crash-free percentages alone don't tell engineers what actually regressed. The AI summary saves the on-call from digging through Sentry, and the Slack message keeps the promote/hold decision in one place with the Vercel link attached.

How it works

  1. 1Sentry emits a release-health event showing a crash-free regression.
  2. 2The flow pulls the new release's top unresolved issues from Sentry.
  3. 3An OpenAI step writes a tight summary of likely root causes and user impact.
  4. 4A logic step confirms the regression clears your alert threshold.
  5. 5It posts a Slack approval message with the summary plus a deep link to the pending Vercel deployment for the human to act on.

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 SlackChannels, DMs, threads, mentions.
  4. 4
    Connect VercelDeploys, runtime logs, analytics.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.