AI AGENTS
Sentry Regression Blame to GitHub PR Comment
On a new Sentry issue, an agent maps the failing frame to the commit that introduced it and posts a blame comment on the originating GitHub pull request so the author sees it…
How it runs
The automated pipeline, trigger to output.
- TriggerNew Sentry issue first seenSentry
- ActionFetch top failing frame, file, and line from SentrySentry
- ActionBlame the line and resolve the introducing PR on GitHubGitHub
- ActionWrite a regression explanation tying error to the changeOpenAI
- OutputComment the blame and trace on the originating PRGitHub
What it does
Connects a fresh Sentry crash back to the change that caused it. The agent reads the failing stack frame, runs git blame against GitHub to find the introducing commit, identifies the pull request that merged it, and posts a comment on that PR with the error and a short explanation — putting the regression in front of the author who wrote the code.
When to use it
Use it when regressions slip through and nobody notices which deploy broke things. It shines for teams that want accountability tied to the original PR rather than a generic alert, shortening the loop between "error in prod" and "author is looking at it."
How it works
- 1Sentry fires when a brand-new issue (first seen) appears.
- 2The agent fetches the top stack frame, file path, and line number from Sentry.
- 3It runs blame on that line via the GitHub API to find the introducing commit and PR.
- 4An OpenAI model writes a concise explanation linking the error to the code change.
- 5A comment is posted on the originating GitHub pull request with the trace and link.
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.
- 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
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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.

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