SUMMARIZATION
Slack Crash-Free Regression Digest on a Schedule
Runs daily, compares crash-free rates across your three most recent Sentry releases.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionPull crash-free rates for the three latest Sentry releasesSentry
- LogicDetect regression vs prior two; end quietly if within tolerance
- ActionWrite a short regression narrativeOpenAI
- OutputPost the verdict to the Slack release channelSlack
What it does
Once a day this workflow reads crash-free session rates for the last three Sentry releases, decides whether the newest deploy is a regression, and — only if it is — posts a concise written explanation to a Slack channel. Healthy days stay quiet, so the channel signal stays meaningful.
When to use it
Use it when you want a low-noise stability watch on your release train. It suits on-call rotations and release captains who would rather get one clear sentence about a real regression than a dashboard they have to remember to check.
How it works
- 1A daily schedule triggers the run.
- 2The flow pulls crash-free session and user metrics for the three latest Sentry releases.
- 3A logic step computes the delta against the prior two and checks it against your tolerance; if within tolerance, the run ends silently.
- 4When a regression is detected, an LLM step writes a short narrative explaining which release dropped, by how much, and the trend shape.
- 5The verdict is posted to your designated Slack channel with the release version and numbers.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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