
Legacy apps automated
From two weeks of manual testing to three hours: how an AI-based solution automates legacy apps without element IDs.

From two weeks of manual testing to three hours: how an AI-based solution automates legacy apps without element IDs.

A gaming company logged nearly 5,000 defects in eight weeks. Better test automation strategy, not better tools, is how you change that picture.

Errors usually occur long before anyone tests. Quality Storming makes visible where quality is lost in the process - before it's too late.

Performance testing is not the same as load testing, and running capacity tests every sprint is wasting cloud budget on the wrong problem.

164 subsystems, national lightning protection rules and offshore turbines without access. Testing wind turbine software is harder than it looks.

From 150 attendees to 705 tickets sold, HUSTEF grew by caring about speakers and community over profit. Here's what makes it work.

AI systems have bias, but the real problem is that people adopt it without realizing it. What this means for the use of AI in companies.

Testers rarely lack skill, they lack visibility, and that gap quietly limits careers and team quality. Show, share and shine are the moves.

Two missing sentences in a software contract can drive a company into bankruptcy. Why agile software projects end up as contracts for work.

Stoic philosophy turns out to be a sharper tool for product decisions than most agile frameworks. Here's why outcome focus misleads teams.

Measuring embedded code coverage without instrumentation: Why hardware tracing in system testing solves the observability that unit testing alone can't deliver.

Testing is both art and science. Da Vinci used curiosity, imperfection, and simplicity as tools. So can testers who want real impact.

From unit tests to exploratory testing, only some Java tools really count in practice. How Maven controls the whole test procedure reliably.

Stress and burnout cost the IT industry a fortune, yet one minute of breathing before a meeting can change how a whole team communicates.

Teaching testing in university before real projects put pressure on you: Why architecture trumps testability and ChatGPT disguises it.

Picking the wrong end-to-end test framework can leave whole browsers untested. Here's how to match tools to real project needs before it costs you.

Vague requirements are the most expensive problem in testing. How AI really helps when determining, formulating and checking requirements.

"It depends" is not a dodge. It is the only honest answer when context shapes every testing decision, and here is why that matters.