ENGINEERING
Agent Triage of Flaky Failures with Root-Cause Note and Owner Assignment
A CEO-driven agent reviews a failed test's logs and recent diff, classifies the likely flake cause (timing, network, shared state), drafts a root-cause note.
How it runs
The automated pipeline, trigger to output.
- TriggerGitHub intermittent failure webhookGitHub
- ActionGather logs, test source, and recent diffGitHub
- LogicAgent classifies flake cause and drafts root-cause note
- ActionResolve owner from CODEOWNERSGitHub
- ActionFile owner-assigned Linear ticket with analysisLinear
- OutputShare diagnosis and ticket link in SlackSlack
What it does
This workflow adds reasoning to flake triage. On a confirmed intermittent failure, an agent reads the failure logs, the test source, and the recent commits touching it, then classifies the likely cause into categories like timing/race, network dependency, or shared test state. It drafts a concise root-cause hypothesis and suggested fix, files a Linear ticket assigned to the owner, and posts the summary to Slack.
When to use it
Use this when stack traces alone do not tell engineers why a test is flaky and you want a first-pass diagnosis attached to every ticket so the owner starts with a hypothesis instead of a blank page.
How it works
- 1A GitHub webhook fires on an intermittent test failure.
- 2The flow gathers the failure logs, the test file, and recent blame/diff via GitHub.
- 3The agent classifies the probable flake category and drafts a root-cause note plus a suggested fix.
- 4CODEOWNERS resolves the owner for assignment.
- 5A Linear ticket is created with the analysis, category label, and owner.
- 6A Slack message shares the diagnosis and ticket link with the team.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect LinearIssues, projects, cycles, triage.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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