ENGINEERING
Agent triage of a flaky test with a proposed fix PR
On demand for a named flaky test, an agent gathers its failure history and source, reasons about the likely root cause, opens a draft GitHub PR with a proposed fix.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run with test identifier
- ActionFetch failing-run logs and test source from GitHubGitHub
- LogicAgent reasons to a root-cause hypothesis and fix
- ActionOpen draft GitHub PR with the proposed fixGitHub
- OutputFile Linear issue summarizing findingsLinear
What it does
Takes a single known-flaky test and does the first-pass investigation a busy engineer rarely has time for. The agent reads the failing run logs, examines the test source and recent changes around it, hypothesizes a root cause (timing, shared state, network, ordering), and drafts a concrete fix as a pull request.
When to use it
Use it when you have a confirmed flaky test and want a head start on the actual repair rather than just a ticket. Best for tests where the flake pattern is visible in logs and the fix is plausibly mechanical.
How it works
- 1A manual trigger supplies the test identifier and repo.
- 2The agent fetches recent failing-run logs and the test's source from GitHub.
- 3It reasons over the evidence to form a root-cause hypothesis and a candidate fix.
- 4It opens a draft GitHub PR containing the proposed change and its reasoning.
- 5It files a Linear issue summarizing the hypothesis, the PR link, and remaining risks for a human reviewer.
Set it up
What you configure once, before turning it on.
- 1Connect GitHubRepos, issues, pull requests, actions.
- 2Connect LinearIssues, projects, cycles, triage.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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