Your release shouldn't wait for someone to click through it
TestMW records scenarios straight from the browser, runs them on a schedule and explains why a step failed. Tests get written by the people who know the product, not by the one automation engineer everybody queues behind.
AI analysis: the “Pay” button rendered but sits under the cookie banner, so the click lands on the overlay. Reproduces only at 1280 px wide.
Six reasons UI automation never quite takes off
We went through published accounts of UI test automation in product teams: fintech, developer platforms, marketing software. The same set of problems shows up everywhere.
Manual regression eats the release
Before every deploy the team sits down and clicks through the same flows. On a two-week sprint that consumes a visible slice of the cycle, and still doesn't cover everything.
Code frameworks need programmers
Selenium and its descendants assume an engineer writing Java, Ruby or JavaScript. That entry barrier locks out manual testers, analysts and product managers.
One automation engineer, every team waiting
Everyone wants coverage, but only the team with a dedicated automation engineer can sustain it. The rest queue up and go back to testing by hand.
Any markup change breaks the suite
Brittle XPaths snap on a redesign. Some of the red is broken locators rather than real bugs, and trust in the suite evaporates fast.
Nobody is free to backfill coverage
New features still get tests. Code that already shipped almost never does, because the headcount to go back and cover it is never allocated.
More customers, same headcount
Every new client and every new user role multiplies the configurations that need checking. QA hiring doesn't multiply with them.
A specific mechanism for each problem, not a slogan
The six problems above map onto six platform capabilities. Here is what each one actually does.
Record, don't code
A browser recorder extension turns your clicks and typing into ready-made steps. No special skills required: a manager, a tester or the developer builds the test in the time it takes to walk the flow once.
AI scenario authoring
“Sign up, add an item, pay by card and check the confirmation email” becomes a sequence of steps you only need to adjust. That is how coverage finally gets backfilled onto older code.
Resilient selectors
Every element is remembered as a set of signals rather than one brittle path: when the markup is rewritten, the step falls back to the remaining candidates. Red means a bug again, not a broken locator.
AI failure analysis
A failed step is analysed together with its screenshot and page context. You get a plain-language verdict: what blocked the step, on which element, and under what conditions it reproduces.
24/7 monitoring
Tests run around the clock on a schedule, not only inside the pipeline. A failing critical flow raises an alarm and lands in Telegram and email within the minute, not on Monday via a support ticket.
Teams and roles
A group account with a manager role: members work under a shared plan, and tests and results are visible to the whole team. Automation spreads across product teams instead of piling up in one queue.
One tool instead of five vendors
What the platform covers beyond end-to-end browser flows.
Visual regression
Pixel comparison of screens between runs, to catch layout that shifted and that a functional test walks straight past.
Site audit
Broken forms, structured data and reachability of key elements are checked as dedicated steps inside the same scenario.
Runs from another country
Execute through a chosen region when content, pricing or availability depend on where the visitor is.
Triggered from your pipeline
Tests hang on CI as a gate, and results are exported to JUnit and Allure and to test management.
Four roles, four different returns
Automation is sold inside a company differently depending on who makes the call.
Product lead
Regression runs overnight and needs no testing window. The go or no-go call rests on a report rather than on how the team feels.
Business owner
Critical flows are checked around the clock. A broken cart costs you orders, and monitoring costs a fraction of that.
QA team
Routine passes move to a schedule, and testers spend their time on exploratory work and edge cases, the things a machine won't think of.
Engineering
Tests hang on the pipeline as a gate. Regressions surface on the pull request instead of in production, where fixing them costs more in every sense.
When the data isn't allowed to leave your perimeter
A self-hosted edition exists for closed networks, and it is a fundamentally different model from the cloud platforms.
Self-hosted edition
The whole stack, server, workers and the storage for scenarios and screenshots, deploys inside your own network. Neither a test step nor a frame captured from your staging environment leaves it.
How that differs from cloud platforms
Mainstream SaaS tools offer an isolated runner at best: your application stays with you, but the test definitions and results still live in their cloud. For a bank or a public-sector buyer, that usually fails review.
What buyers ask before rolling it out
Do I need a programmer to write a test?
No. A scenario is captured by a browser extension: you walk the user journey with ordinary clicks and the extension saves those actions as test steps. A tester, an analyst or a product manager can build the test.
What happens to my tests after a site redesign?
Every element is stored as a set of signals rather than a single path through the markup. When the markup is rewritten, the step falls back to the remaining candidates, so far less rework is needed than with brittle XPath-based suites.
How is TestMW different from Selenium and similar frameworks?
Selenium assumes tests are written as code in Java, Ruby or JavaScript and that someone on the team maintains that code. In TestMW a scenario is recorded or generated from a description, and the run infrastructure, scheduling and reporting are part of the platform.
Can TestMW be deployed inside our own network?
Yes. A self-hosted edition deploys the server, workers and the storage for scenarios and screenshots inside your own perimeter, so test run data never leaves the organisation.
How will I know a critical scenario has failed?
Tests run on a schedule around the clock. A failing critical scenario raises an alarm, the notification arrives in Telegram and by email, and the report already contains the analysis of the cause with a screenshot of the step.
What does it cost?
There is a free plan to run a first scenario and look at the report. Beyond that the grid scales with your run volume, see the pricing page.
Start with the one flow you'd least like to break
Checkout, signup, the lead form. Record it in the browser and put it on a schedule, then decide whether the coverage is worth extending.