AI AGENTS
On-call agent: Sentry error spike to remediation plan and fix PR
On a Sentry issue spike, an agent decides between a runtime shell mitigation and a code fix, then either gates a shell command in Slack or opens a draft GitHub PR.
How it runs
The automated pipeline, trigger to output.
- TriggerSentry issue spike alertSentry
- LogicClassify: infra-transient vs code-defect
- ActionInfra path: gate shell mitigation in SlackSlack
- ActionCode path: open draft GitHub fix PRGitHub
- OutputComment chosen path on Sentry issueSentry
What it does
Not every alert needs a shell command — some need a code change. This agent triages a Sentry error spike and branches: transient infra issues get a gated shell mitigation, while code defects get a draft GitHub PR with the proposed fix.
When to use it
Use it when your on-call rotation handles both operational blips and recurring code bugs, and you want the agent to route each to the right remediation path.
How it works
- 1A Sentry alert fires on an issue frequency spike with stack trace and release.
- 2The agent classifies the cause as infra-transient or code-defect.
- 3If infra-transient, it drafts a shell mitigation and posts it to Slack for approval, then runs it on Approve.
- 4If code-defect, it opens a draft GitHub PR with the proposed change and links it back to the Sentry issue.
- 5Either way it comments the chosen path and reasoning on the Sentry issue for the audit trail.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect ShellRun sandboxed commands inside the workspace.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Connect GitHubRepos, issues, pull requests, actions.
- 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.
More AI Agents workflows
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.
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.
Datadog Bill Spike Attribution Agent
When a daily Datadog cost check detects a spend jump, an agent attributes the increase to the specific services and metric types driving it and posts a ranked breakdown to Slack.
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.
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
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.
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.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.