TICKET MANAGEMENT

Reproduce Intercom Bugs and Point Linear Issues at Likely Code

When an Intercom bug ticket comes in, an agent reproduces the behavior and searches the GitHub repo for the components and handlers involved.

CategoryTicket Management
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation labeled bugIntercomIntercom
  • ActionExtract feature, URL, and error stringsOpenAI
  • ActionReproduce behavior in sandbox browserBrowserbase
  • ActionSearch GitHub for code and recent commitsGitHubGitHub
  • LogicBranch: confident code area found?
  • OutputCreate Linear issue with candidate files and commitsLinearLinear

What it does

Gives engineers a head start on root cause. After reproducing the bug, the agent searches the codebase for the feature, route, or error string involved and attaches the likely files and suspicious recent commits to the Linear issue.

When to use it

Use it when triage time is dominated by "where does this even live in the code." Best for teams with a single primary repo and a habit of small, frequent commits.

How it works

  1. 1A new bug-labeled Intercom conversation triggers the flow.
  2. 2The agent extracts the affected feature, URL, and any error strings.
  3. 3It reproduces the issue in a sandbox browser to confirm the symptom.
  4. 4It runs GitHub code search for matching components, handlers, and error text, and inspects recent commits touching those paths.
  5. 5A branch decides whether a confident code area was identified.
  6. 6A Linear issue is filed with repro steps, candidate file paths, and links to suspect commits for the assigned engineer.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect BrowserbaseHeadless browsers, sessions, replays.
  4. 4
    Connect GitHubRepos, issues, pull requests, actions.
  5. 5
    Connect LinearIssues, projects, cycles, triage.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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