AI AGENTS
Sentry Spike to Draft Fix PR, Held for Review
When a Sentry issue crosses an event threshold, an agent reads the stack trace, locates the offending code.
How it runs
The automated pipeline, trigger to output.
- TriggerSentry issue crosses thresholdSentry
- LogicSkip muted/ignored/linked issues
- ActionAgent reads trace + inspects repo filesGitHub
- ActionOpen draft PR with proposed fixGitHub
- OutputNotify on-call reviewer in SlackSlack
What it does
Converts a noisy Sentry error into a concrete, reviewable code change. The agent parses the stack trace, finds the relevant source in the repo, and drafts a targeted patch. It opens the change as a draft pull request so the fix never lands without an engineer reading it.
When to use it
Good for well-scoped, repetitive exceptions (null guards, missing validation, off-by-one) where the fix is mechanical but you still want code review. It turns the on-call engineer's job from writing the patch to approving one.
How it works
- 1A Sentry issue alert triggers the flow once an error crosses its event threshold.
- 2A logic step filters out muted, ignored, or already-linked issues.
- 3The agent reads the stack trace and inspects the matching files via the GitHub API.
- 4It drafts a minimal fix and opens a draft pull request describing the root cause.
- 5A Slack message links the PR and pings the on-call reviewer.
- 6The human reviews and merges; the workflow leaves the merge decision entirely to them.
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
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.
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