ENGINEERING

Loom Bug Dedupe Against Existing GitHub Issues

Before filing, it transcribes a Loom bug video, searches existing GitHub issues for a likely duplicate, and either comments the new video on the match or opens a fresh issue.

CategoryEngineering
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom bug video sharedLoomLoom
  • ActionFetch transcript and metadataLoomLoom
  • ActionSummarize symptom + repro via LLMOpenAI
  • ActionSearch open GitHub issues for matchesGitHubGitHub
  • LogicDecide duplicate vs new issue
  • OutputComment on match or open new issueGitHubGitHub

What it does

Stops duplicate bug reports before they clutter the tracker. When a Loom bug video arrives, it extracts the symptom and repro, semantically searches open GitHub issues for a match, and decides: if it's a likely duplicate it comments the new Loom and any extra detail onto the existing issue; if not, it opens a new structured issue.

When to use it

Use it on high-traffic bug intakes where the same defect gets reported many times. It keeps signal consolidated on one canonical issue and saves engineers from triaging the same bug repeatedly.

How it works

  1. 1A new Loom bug video triggers the flow.
  2. 2Loom returns the transcript and metadata.
  3. 3An OpenAI step produces a normalized symptom summary and repro steps.
  4. 4A GitHub action searches open issues using the summary as the query.
  5. 5An OpenAI step compares candidates and decides duplicate or new.
  6. 6A logic branch routes the decision.
  7. 7A GitHub action either comments on the matched issue or creates a new one.

Set it up

What you configure once, before turning it on.

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

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