Optimized for testing
Every decision is tuned specifically for QA - fewer false alarms, better reports.
Backed by
CombinatorIf users use it 24/7,
CombinatorIf users use it 24/7,
test it 24/7
Real user journeys, replayed in production around the clock. Synthetic monitors check URLs - we check whether the user can actually sign up, check out, or play the video.
[01] Skills & features
Bring your testing to another level
Continuous monitoring for the flows that must always work.
ProductionScheduled24/7
Continuous monitoring for the flows that must always work.
ProductionScheduled24/7
TRUSTED BY
[02] Monitoring stack
Tools your team already runs
[03] The production gap
Your CI runs once
Production runs forever
Pre-release tests cover the deploy. They don't cover the day after - when third parties push, infra autoscales, and your DB migration finishes mid-traffic. Your production needs a QA that never clocks out.
Staging passes. Production breaks.
Different data, different feature flags, different third-party state. The bug that ships didn't exist on the version your tests ran against - and CI can't reproduce it.
The endpoint responds. The journey doesn't.
Synthetic monitors check that your URL returns 200. They don't check whether the user can complete signup, finish checkout, or play the video. The journey that breaks first is the one nothing watches.
Regressions don't wait for your release.
Your release calendar runs Tuesdays and Thursdays. Bugs ship 24/7 through everything else - third-party deploys, infra events, scheduled jobs, flag flips.
No maintenance window.
The user who hits your app at 3am their time doesn't know you stopped testing at 6pm yours. The first signal that something broke is when they file the ticket - and by then the cohort is gone.
[04] Per-regression evidence
Every prod failure, fully recorded
When a test fails in production, you don't get a stack trace. You get the recording, the step trace, screenshots, and the reproduction context to fix it in minutes.
- 01Full browser session recording of the journey
- 02Step-by-step pass/fail breakdown of every action
- 03Screenshots captured at each key moment
- 04Clear bug report with reproduction context
- 05Slack, Discord, or email alert with all evidence attached
[05] How it works
Four steps to 24/7 production monitoring
Point us at production, describe the journeys that must always work, and let TesterArmy run them continuously - so regressions show up in a check, not a support ticket.
Connect GitHub
staging.yourapp.com
Create a project
Paste your production URL with test credentials. We render in a real browser, sign in, and walk through your critical flows. No SDK, no test scripts, no infrastructure to maintain.
Production URLTest credentialsNo SDK
staging.yourapp
user@test.com
Submit
Write tests in plain English
Describe what to test in natural language. "Sign up, complete onboarding, check out, land on the dashboard." The flows that must always work, even at 3am. No DSL, no SDK.
Natural languageNo SDKNo DSL
GitHub AppAuto on deploy
Production monitoringRecurring runs
WebhookAny CI pipeline
Run on a schedule. Forever.
On a recurring schedule you set per journey. Journeys run continuously in production against real third-party state, real data, real infra. Drift surfaces the moment it ships.
ScheduleCronContinuous
PassSearch results
Query returns the correct filtered items and pagination controls work as expected
Get a clear report
Every failure ships with the receipts: video of the broken flow, screenshots at each step, pass/fail trace, and a clean bug report - routed to Slack, Discord, or email.
RecordingScreenshotsBug report
[06] Resources
TesterArmy in action
Explore real bug finds, QA tips, and client case studies from our work in practice.
July 22, 2026Introducing Scout: API Testing Built for AI Agents
We built Scout, an open source CLI that gives coding agents a safe harness for testing APIs. Point it at an OpenAPI spec and it sweeps, fuzzes, and records findings - with guardrails on by default. In this walkthrough it finds three real bugs in the Swagger Petstore.
July 17, 2026TesterArmy Now Supports Netlify Deploy Previews
Netlify Deploy Previews can now trigger TesterArmy automatically. Test every pull request on its real preview URL and get the results back in GitHub before merge.
July 16, 2026How Do We Use TesterArmy at TesterArmy?
We ship TesterArmy with TesterArmy. Here is how we dogfood our own QA agent - what we test, how we wire it into PRs, and what it catches.
[07] FAQ
Production monitoring, answered
Both. Point us at any URL - staging, preview deploys, or production. Most teams run journeys against staging on every PR and against production on a recurring schedule.
Yes. Email and password works out of the box. Google and GitHub OAuth run through stored credentials. Magic-link and email verification flows use our agent's own inbox - it reads the link inline and continues the journey.
Encrypted at rest, scoped to your project. Credentials never appear in logs or recordings. You can rotate them or revoke project access at any time without touching production.
When a journey fails, we send a message to your Slack, Discord, or email - with the recording, screenshots, step-by-step trace, and reproduction context already attached. Triage starts from evidence, not speculation.
Minutes. Paste your URL, describe one critical flow in plain English, hit run. No SDK to install, no test code to write. Most teams have a journey running before the demo call ends.
Different layer. Synthetic monitors check that a URL returns 200, or that a scripted browser hits a few selectors. TesterArmy checks whether the user can actually sign up, complete checkout, or play the video - the journey, not the endpoint. Synthetic monitors tell you the server is up; TesterArmy tells you the product still works.
Your synthetic monitor lied to you again
TesterArmy runs your critical journeys continuously in production - and ships full evidence the moment one breaks. You find out from a check, not from a support ticket.
[08] Contact us