AI AGENTS
Sentry Cluster to Draft Fix PR on GitHub
For a recurring Sentry error cluster, an agent reads the failing code, proposes a minimal fix.
How it runs
The automated pipeline, trigger to output.
- TriggerRecurring Sentry issue passes thresholdSentry
- ActionPull failing file and context from GitHubGitHub
- ActionPropose minimal patch with rationaleOpenAI
- ActionOpen draft pull request with the changeGitHub
- OutputCreate linked Linear review ticketLinear
What it does
Goes one step past diagnosis and drafts the fix. When a Sentry issue recurs past a chosen count, the agent fetches the implicated source from GitHub, reasons about a minimal safe change, opens a draft pull request with the proposed patch and rationale, and links a Linear ticket so a human can review and merge — turning a chronic error into a ready-to-evaluate fix.
When to use it
Use it for well-understood, repetitive errors (null guards, missing validation, off-by-one) where a draft fix saves engineer time. It is explicitly a starting point for review, not auto-merge, so keep it on clusters where the change surface is small and obvious.
How it works
- 1Sentry fires when a recurring issue passes its event threshold.
- 2The agent pulls the failing file and surrounding context from GitHub.
- 3An OpenAI model proposes a minimal patch with a written rationale.
- 4A draft pull request with the change is opened on GitHub.
- 5A Linear ticket is created and linked to the draft PR for human review.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect LinearIssues, projects, cycles, triage.
- 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
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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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