AI AGENTS
Sentry Error to Proposed Fix PR with Reviewer Sign-Off
When a new Sentry issue crosses a frequency threshold, an agent reads the stack trace and source, drafts a candidate code fix as a draft GitHub PR.
How it runs
The automated pipeline, trigger to output.
- TriggerSentry issue crosses frequency thresholdSentry
- ActionRead stack trace and breadcrumbsSentry
- ActionLocate failing code in GitHubGitHub
- ActionAgent drafts minimal fix and explanation
- ActionOpen draft PR on new branchGitHub
- OutputPost PR link to Slack for human reviewSlack
What it does
Converts a recurring production error into a concrete, reviewable code change. The agent inspects the Sentry stack trace, locates the offending code in GitHub, and opens a *draft* pull request with a proposed fix and an explanation — leaving the decision to merge entirely to a human.
When to use it
Use this for high-frequency, well-localized exceptions (null guards, missing validation, off-by-one) where the fix is usually obvious but writing it interrupts on-call focus. The draft-PR-only design means the agent never ships code on its own.
How it works
- 1A Sentry issue alert fires once an error crosses your event threshold.
- 2The agent reads the exception type, stack frames, and breadcrumbs.
- 3It opens the referenced files in GitHub and locates the failing line.
- 4The agent drafts a minimal fix and writes a PR description explaining the cause.
- 5It opens a draft GitHub PR on a new branch — never auto-ready, never auto-merge.
- 6It posts the PR link to Slack and asks the on-call engineer to review and decide.
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.