ENGINEERING
Weekly deprecation rollup into a prioritized migration plan
On a weekly schedule, pulls all open deprecation issues from Sentry, ranks them by event volume and impact with OpenAI.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionPull open deprecation issues from SentrySentry
- ActionRank and cluster deprecations with OpenAIOpenAI
- ActionCreate or update GitLab tracking issueGitLab
- OutputPost prioritized plan to SlackSlack
What it does
Once a week this workflow collects every active deprecation Sentry is reporting, scores each one by how often it fires and how risky the migration is, and produces a single ranked migration plan. The plan lands as a GitLab tracking issue and a Slack digest so the team can plan the sprint around real signal instead of guesswork.
When to use it
Use it when deprecations accumulate faster than anyone reviews them and you need a recurring, prioritized view rather than per-event noise. Great for a weekly engineering planning ritual where someone has to decide what to migrate next.
How it works
- 1A weekly schedule starts the run.
- 2The flow queries Sentry for all open deprecation-tagged issues with their event counts and first/last seen dates.
- 3OpenAI clusters related deprecations, estimates migration effort, and ranks them into a do-now / do-soon / monitor plan.
- 4It creates or updates a single GitLab tracking issue holding the ranked plan and links to each Sentry issue.
- 5It posts a short Slack summary highlighting the top items and the link to the GitLab plan.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect GitLabRepos, MRs, pipelines, registry.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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