Testing

Regression triage that happens before standup.

The overnight run fails in forty places and three of them matter. An AI coworker separates the real failures from the flakes, groups them by cause, and has the picture ready when your team arrives.

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Last night's runyour audit trail
PY
Payments suite — 3 failuresGrouped to one change · filed
Regression
CH
Checkout suite — 12 failuresKnown flakes · passed on re-run
Dismissed
AU
Auth suite — 1 failureCould not reproduce locally
Watching
CV
CoverageCheckout path untouched since March
Flagged
Read the runSeparate the flakesGroup by causeMatch to the changeReproduce itAttach the logsFile the reportLink the change

A testing AI coworker reads the overnight run, separates real regressions from flakes and environment noise, groups failures by the change that most likely caused them, and files what needs filing — so the day starts with three findings rather than forty red lines.

What a testing coworker owns

Three jobs between the run finishing and your team arriving.

See how we build yours   →

Failures grouped by likely cause, with the known flakes separated out and named

The paths your suite does not touch, ranked by what has actually changed recently

A report a developer can act on: the steps, the logs, and the change it points at

Everything a testing coworker does, in one place

Eight capabilities, all running inside your own environment against your own build artefacts.

Run triage

Reads the overnight results and turns forty red lines into the handful that mean something.

Flake separation

History and re-runs, not guesswork. A flake gets named as a flake rather than filed as a bug.

Cause grouping

Failures grouped by the change that most likely caused them, not by the suite they sit in.

Reproduction

Tries to reproduce before filing, and says plainly when it could not.

Evidence attached

Steps, logs, and the diff it points at, so a developer can start rather than investigate.

Coverage gaps

The paths your suite does not touch, ranked by what has actually changed recently.

Fix verification

Re-runs the affected tests once a fix lands and closes what genuinely got fixed.

Data stays in place

It runs beside your pipeline in your account. Test data is never pulled out to a vendor.

Forty red lines, resolved into three findings

The run, the grouping, the flakes it dismissed and why, and the failures it filed — written down so the triage is reviewable rather than trusted.

See what gets logged   →
Last night's runyour audit trail
PY
Payments suite — 3 failuresGrouped to one change · filed
Regression
CH
Checkout suite — 12 failuresKnown flakes · passed on re-run
Dismissed
AU
Auth suite — 1 failureCould not reproduce locally
Watching
CV
CoverageCheckout path untouched since March
Flagged

What happens between the run and standup

The hour someone currently spends working out which three of the forty matter.

Read the runSeparate the flakesGroup by causeMatch to the changeReproduce itAttach the logsFile the reportLink the changeCheck the fixRe-run the suiteFlag thin coverageUpdate the statusLog what it didAsk when unsure

Questions QA leads ask

Mostly about whether it can tell the difference between noise and a regression.

It owns the triage after the run rather than the writing of tests: reading the results, separating genuine regressions from flakes and environment noise, grouping failures by the change that likely caused them, and filing reports a developer can act on immediately.

By history and by re-running. A test that fails once, passes on repeat, and has no related change is treated as noise and named as such rather than filed. Where it is not sure, it says so instead of picking.

It can draft cases for paths your suite does not cover, but the useful work is usually triage. Most teams do not have a shortage of tests; they have a shortage of people willing to read forty red lines at nine in the morning.

It runs inside your own cloud, so the pipeline, the build artefacts, and the internal test environment are reachable without exposing any of them. A hosted service would need you to open all three.

It stays where it is. The coworker runs beside your pipeline inside your account rather than pulling data out to a vendor, and it operates under the same access controls that environment already has.

Forty red lines and three real problems. The cost is not the failures. It is the hour spent working out which three.
— Why triage is the job
Nightly runto: AI coworker

41 failures across 6 suites.

38 known flakes · 3 new✓ Filed against the payments change

Put an AI coworker
inside your own cloud.

Bring last night’s failing run. We will show you what it would have found.

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