ENGINEERING
Agent-driven deprecation migration coordinator
An autonomous agent intakes a Sentry deprecation, researches the upstream changelog, decides whether to scope it, then orchestrates the migration by opening a Linear epic.
How it runs
The automated pipeline, trigger to output.
- TriggerNew deprecation handed to the agent from SentrySentry
- ActionResearch upstream changelog and migration guidePerplexity
- LogicAgent decides scope and blast radius
- ActionOpen coordinating Linear epicLinear
- ActionFile per-service GitLab sub-issuesGitLab
- OutputPublish migration plan to ConfluenceConfluence
What it does
This is the heavyweight option: an agent owns a deprecation end to end. It reads the Sentry signal, researches what the upstream project actually changed, judges scope and blast radius, and then coordinates the work across systems rather than just filing one ticket. The output is a planned, multi-service migration ready for engineers to execute.
When to use it
Use it for cross-cutting deprecations that touch several services and need real judgment about sequencing and risk, not a single mechanical edit. Reach for this when one ticket isn't enough and you want a coordinated plan instead.
How it works
- 1Sentry fires on a new deprecation and hands it to the agent.
- 2The agent researches the upstream changelog and migration guide to understand the change and its replacement.
- 3It reasons about which services are affected and whether the migration warrants a full epic.
- 4It opens a Linear epic capturing the overall plan and sequencing.
- 5It files a GitLab sub-issue per affected service with specific guidance.
- 6It publishes the consolidated migration plan to Confluence for the wider team.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect PerplexitySearch-grounded answers with citations.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Connect GitLabRepos, MRs, pipelines, registry.
- 5Connect ConfluenceSpaces, pages, blueprints.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, 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.
Run this workflow in your colony.
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