Ship with confidence. Meet your AI QA agent.
Your developers use AI and ship faster than ever. Testing hasn’t kept up, so QA is now the bottleneck and the pressure is to skip it. Our QA agent picks up a ticket like a tester, checks the feature in a real browser, and posts the report to the ticket. We set it up in your stack.
Why now
Development has changed. AI agents write a growing share of the code.
Testing hasn’t. Manual passes at the end of the sprint and hand-maintained suites.
That gap is the risk. AI writes plausible code, and plausible bugs. Quality slips one release at a time.
QA needs the same shift. An agent explores, a person reviews and decides. We set it up in your tracker, CI and environments.
Assign a ticket. Get a tested feature.
90 seconds: the agent finds a real bug, captures evidence and posts the report to the ticket.
How it works
- 1
Write the ticket as usual
A URL and a few lines on what to check. No new syntax, no framework, no extra tool.
- 2
The agent picks it up
It opens a real browser, signs in, and works through the flows, checking behaviour, accessibility, console and network.
- 3
The report is posted to the ticket
Pages explored, findings ranked by severity, screenshots and evidence. Known issues stay suppressed.
- 4
Your team reviews it in the tracker
No new dashboard. No new tool to learn.
Full walkthrough
A complete run on a real ticket, narrated. Four minutes, with sound.
How setup works
One-off setup, not a subscription. We build it in your stack, hand it over working, and support your team while they settle in.
- 01
We connect it to your tracker
Jira, Linear or GitHub Issues. The agent becomes an assignee.
- 02
We teach it your product
Test accounts, environments, key flows, and known issues to ignore. This is what separates a noisy bot from a useful one.
- 03
We connect it to CI (optional)
Run on pull requests, on deploy, or only when a ticket is assigned.
Tell us about your stack and we’ll outline what setup involves.
We also build
End-to-end test suites. Full Playwright setups: page objects, fixtures, CI, and tests your team can maintain.
Skills for your coding agents. Custom skills built from your codebase, so your coding agents stop guessing how your product works.
Pipeline automation. Failure triage, flaky test detection, release checks.
Something else. If it makes quality cheaper to maintain, it’s in scope.