TICKET MANAGEMENT

Autonomous repro investigator for ClickUp bug tasks

A Paperclip agent reads a low-scoring bug task, hunts the codebase and recent GitHub commits for likely causes, drafts concrete repro steps.

CategoryTicket Management
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerClickUp task tagged needs-reproClickUpClickUp
  • LogicAgent forms hypothesis about affected area
  • ActionSearch GitHub code and recent commitsGitHubGitHub
  • LogicDraft candidate repro steps from evidence
  • OutputPost proposed repro steps for reporter to confirmClickUpClickUp

What it does

Instead of just bouncing a vague bug back to the reporter, this agent tries to do the detective work itself. For a ClickUp task that scored low on reproducibility, a Paperclip agent reads the symptom, searches the relevant repo and recent commits on GitHub for code paths and changes that match, and drafts a best-guess set of repro steps. It posts those steps as a ClickUp comment and asks the reporter to confirm or correct them — turning a dead-end report into a testable hypothesis.

When to use it

Use it for bugs where the reporter clearly hit something real but can't articulate the steps, and your team has the code context to reconstruct them. Best on repos the agent can read.

How it works

  1. 1A ClickUp task tagged "needs-repro" triggers the agent.
  2. 2The agent reads the task and forms a hypothesis about the affected area.
  3. 3It searches GitHub code and recent commits for matching paths and regressions.
  4. 4It drafts concrete, numbered repro steps from the evidence.
  5. 5It posts the proposed steps as a ClickUp comment asking the reporter to verify.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ClickUpDocs + tasks + chats in one workspace.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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