TICKET MANAGEMENT

Enrich Intercom bug with Sentry traces and recent GitHub commits

Files a Linear bug from a tagged Intercom thread and enriches it with matching Sentry error events and the GitHub commits that touched the affected area.

CategoryTicket Management
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps7
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation tagged 'bug'IntercomIntercom
  • ActionExtract symptom, area, timestamp
  • ActionSearch Sentry for matching error eventsSentrySentry
  • ActionList recent GitHub commits in affected pathGitHubGitHub
  • LogicEvidence relevant enough to attach?
  • ActionCreate enriched Linear issueLinearLinear
  • OutputPost Linear link as Intercom noteIntercomIntercom

What it does

Creates a richly-scoped Linear bug from an Intercom conversation, then attaches likely-cause evidence. It searches Sentry for error events matching the reported symptom and time window, and pulls recent GitHub commits touching the suspected files or service, so the Linear issue arrives with both customer impact and a starting point for the fix.

When to use it

Use when your support-to-engineering loop is slow because engineers have to manually hunt for the stack trace and the commit that broke things. This front-loads that investigation onto every bug it files.

How it works

  1. 1An Intercom conversation tagged `bug` fires the trigger.
  2. 2The agent extracts the symptom, affected area, and approximate timestamp from the thread.
  3. 3It queries Sentry for matching error events and grabs the top stack traces.
  4. 4It lists recent GitHub commits touching the implicated path or service.
  5. 5A logic step ranks whether the Sentry/commit evidence is relevant enough to attach.
  6. 6A Linear issue is created with the scope, linked Sentry events, and candidate commits.
  7. 7The Linear URL is posted back to the Intercom conversation as an internal note.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect SentryErrors, performance, releases.
  4. 4
    Connect GitHubRepos, issues, pull requests, actions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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