AI AGENTS
On-Call Agent: Sentry Error Spike to Commit Correlation and Hotfix Branch
When Sentry reports an error spike, an agent reads the stack trace, blames the responsible commit via GitHub, drafts a hotfix branch with a suggested change.
How it runs
The automated pipeline, trigger to output.
- TriggerSentry error spike detectedSentry
- ActionBlame the introducing commit via GitHubGitHub
- LogicDecide regression vs latent bug
- ActionCreate hotfix branch with draft changeGitHub
- OutputNotify author and on-call in SlackSlack
What it does
Translates a Sentry error spike into a head start on the fix. The agent reads the failing stack trace, identifies the code and the commit that introduced it, and stages a hotfix branch describing the proposed change for human review.
When to use it
Use it for application-layer incidents where the signal is an exception spike rather than an infra metric, and where pinpointing the offending line and committer manually eats the most time. Keeps the actual code change under human control.
How it works
- 1Sentry detects an error spike and triggers the workflow with the issue and stack trace.
- 2The agent maps the top frame to a file and line, then uses GitHub blame to find the introducing commit and author.
- 3Logic distinguishes a recent-regression spike from a long-standing latent bug and decides whether a hotfix is warranted.
- 4If warranted, the agent creates a hotfix branch in GitHub with a draft change and a description of the proposed fix.
- 5It notifies the author and on-call in Slack with the branch link, asking for confirmation before any PR is opened.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 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
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.
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.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.