How do AI Employees keep flaky tests out of your CI?
A flaky test AI Employee that reads your CI run history on a daily schedule, scores every test on how often it flips outcome on unchanged code, opens a quarantine PR for the worst offenders with the evidence attached, and files a tracking issue. It never merges its own PR and never deletes a test.
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Flakiness hides in plain sight. A test fails, the job reruns, it passes, and CI goes green, so the failure never becomes a signal anyone tracks. Spread across a few hundred tests over a few months, a handful are quietly eating a rerun every week, and genuinely broken tests get the same "just rerun it" shrug as the flaky ones. Nobody schedules time to fix the true flakes, because nobody has a ranked list of which ones are actually costing the team reruns. The common responses don't fix it. Rerunning failed jobs until green hides the problem instead of measuring it. A channel where someone occasionally asks "is this one flaky again?" depends on a person noticing and remembering. Deleting a flaky test outright throws away whatever real coverage it had, and doing any of this by hand means first digging through weeks of CI logs to find which tests are actually the worst offenders.
On a daily schedule the flaky test AI Employee resumes from a flakiness ledger, pulls the CI run history from GitHub since its last check, updates every test's nondeterminism score, and once a test crosses the quarantine threshold, opens a PR that skips it with a reason and a link to the evidence, plus a running tracking issue listing every currently quarantined test. It posts the day's changes to Slack. It never deletes a test and never merges its own PR.
See exactly how the work gets done.
Runs daily, carrying its flakiness ledger
A run fires once a day against the same flakiness history, not a fresh start each time. Because the per test history survives from one run to the next, a test's score reflects weeks of runs, not just today's, so the ranking is judged against the full record every time.
Carries your quarantine playbook
How flakiness is scored, which skip syntax each test framework uses, and what a quarantine PR and tracking issue should contain travel with it as a skill. Tune the threshold or record a flaky test's root cause, and the next run picks it up.
Connects to what triage needs, with permissions you set
It reads the CI run history from GitHub over a rolling window, opens a quarantine PR on the worst offenders, files one running tracking issue, and posts the day's summary to Slack. Credentials stay in memory, never written to disk, never exposed to the model.
Skip and mark, never delete
Its only edit to a test file is a skip or quarantine marker with a reason and a link to the run evidence. It never removes a test, its assertions, or its file.
Opens the PR and stops
It opens a PR and a tracking issue and stops; it never merges its own PR and never pushes to the default branch. By the time a person looks, the worst offenders are already ranked with the evidence attached. A named human reviews the quarantine, merges it if warranted, and removes the skip once the test is actually fixed.
Runs in your environment
Every run is isolated inside your own infrastructure, reaching only GitHub, the CI history, and the Slack channel. Your data never leaves it.
Permissions you set
The GitHub and CI credentials stay in memory, injected at run time, never written to disk, never exposed to the model or the logs.
Skip, never delete
Its only edit to a test file is a skip or quarantine marker with a reason. It never removes a test, its assertions, or its file.
Opens, never merges
It opens a PR and an issue and stops. It never merges and never pushes to the default branch; a named human owns the merge and the eventual removal of the quarantine.
You own the rules
The scoring rules, thresholds, skills, and permissions are yours, versioned and changed on your terms, not in a vendor dashboard.
The tests that used to eat a silent rerun every week now show up ranked, with a PR and a tracking issue attached to the worst of them. CI gets quieter without losing coverage nobody meant to drop, and the merge stays exactly where it belongs: with a person.
Every day
Test flakiness rescored against the latest CI history
Ranked, not guessed
Quarantine targets picked from CI evidence, not gut feel
Human merge
The AI Employee proposes the quarantine; a person decides
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do AI Employees keep your docs in sync with the code?
Sweeps the code merged each day, rewrites the docs those changes touched, and opens one reviewable pull request. Publishing waits for a human merge.
×How do AI Employees test every pull request before a human reviews it?
Checks out every pull request, runs the suite, exercises the change through the edge on a test deploy, and posts the result. It stays off production, leaving the merge to a person.
×How do you get a postmortem drafted the moment an incident resolves?
Reconstructs the incident timeline, correlates it against deploys and log spikes, and opens a structured postmortem as a doc PR. It drafts, and the team finalizes.
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