ENGINEERING
Enrich Sentry-spike Linear bugs with an AI root-cause summary
When a Sentry spike creates a deduplicated Linear bug, an agent reads the stack trace and recent GitHub commits to the culprit file.
How it runs
The automated pipeline, trigger to output.
- TriggerSentry spike alertSentry
- ActionRead stack trace + culprit pathSentry
- ActionFetch recent commits/diffs + CODEOWNERSGitHub
- ActionDraft root-cause hypothesis + suspect commitOpenAI
- LogicDedupe against Linear by fingerprintLinear
- OutputCreate/update Linear bug with AI summary + assigneeLinear
What it does
Adds an analyst layer on top of spike triage. After deduplicating a Sentry spike into a Linear bug, an agent pulls the stack trace plus recent commits touching the culprit file from GitHub, reasons about the probable cause, names the most suspect commit, and writes a plain-language summary onto the ticket before routing it to the owning team.
When to use it
Use it when engineers spend the first 20 minutes of every bug just reconstructing what changed. Best for active codebases where a spike usually traces back to a recent deploy and you want a head start on the investigation written into the ticket.
How it works
- 1A Sentry spike alert fires for an issue.
- 2The agent reads the stack trace, culprit path, and fingerprint from Sentry.
- 3It fetches recent commits and diffs touching that path from GitHub and resolves the owning team from CODEOWNERS.
- 4It reasons over the trace plus diffs to draft a root-cause hypothesis and flag the suspect commit.
- 5It deduplicates against Linear, then creates or updates the bug with the summary and assigns the owning team.
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.
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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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