DEVOPS

Agent-Driven Flaky-Test Investigation and Draft Fix

On a quarantined test, a CEO-driven agent reads the test source and recent diffs, diagnoses the likely cause of nondeterminism, opens a draft fix PR.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook fires on new quarantineHTTP webhook
  • ActionFetch test source and recent commitsGitHubGitHub
  • LogicAgent diagnoses likely cause of nondeterminismOpenAI
  • ActionOpen a draft fix PR with the proposed changeGitHubGitHub
  • OutputFile a GitLab issue with the diagnosisGitLabGitLab

What it does

Goes beyond skipping the test: an agent investigates why it's flaky. It pulls the test code and the commits that touched it, reasons about common flake causes like unawaited async, shared state, or time and order dependence, and proposes a concrete starting fix so the owner isn't starting from zero.

When to use it

Use it when quarantine alone leaves a backlog nobody has time to investigate. The agent does the first-pass diagnosis and drafts a candidate fix, leaving a human to review and merge.

How it works

  1. 1A webhook fires when a test is added to quarantine.
  2. 2The agent fetches the test source and the recent commits that modified it from GitHub.
  3. 3It reasons over the code to identify the most likely source of nondeterminism and drafts a candidate change.
  4. 4It opens a draft fix PR with the proposed change and an explanation.
  5. 5It files a GitLab issue summarizing the diagnosis and linking the draft PR for the owner to review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect GitLabRepos, MRs, pipelines, registry.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect HTTP webhookTrigger any URL on agent 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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