AI AGENTS
Open a triaged Linear remediation ticket from a recurring Sentry regression
When a previously resolved Sentry issue regresses, an agent diffs it against the prior fix, drafts a remediation ticket in Linear with proposed steps and an owner.
How it runs
The automated pipeline, trigger to output.
- TriggerSentry resolved issue regressesSentry
- ActionFetch new event and original resolving releaseSentry
- LogicDiff against prior fix, estimate severity and owner
- ActionCreate triage-state Linear remediation ticketLinear
- OutputNotify suggested owner for sign-offSlack
What it does
Catches regressions and turns them into actionable, pre-triaged work. When Sentry reopens an issue that was previously resolved, the agent compares the new occurrence to the old fix, identifies what likely broke again, and creates a Linear ticket with a proposed remediation plan, severity, and suggested assignee. The ticket starts in a triage state awaiting human sign-off.
When to use it
Use it when regressions slip through and quietly re-accumulate errors before anyone notices. Good for teams that live in Linear and want regressions to become well-scoped tickets automatically rather than getting lost in alert noise.
How it works
- 1A Sentry regression alert fires when a resolved issue reopens.
- 2The agent fetches the new event details and the original resolving release or commit.
- 3Decision logic compares the two, estimates severity, and proposes a remediation approach plus an owner.
- 4It creates a Linear ticket containing the plan, links, and labels, set to a triage status.
- 5It notifies the suggested owner so a human accepts or reassigns before work begins.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect LinearIssues, projects, cycles, triage.
- 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.
More AI Agents workflows
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Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
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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