AI agents are a powerful way to make software tests faster, more efficient, and more scalable. But they can also make the process very expensive. Between token costs, API fees, agents’ CPU and memory consumption, and more, the costs of agentic testing can add up to the point that they exceed the price of testing…
Once upon a time, QA engineers seeking to advance their careers had a particularly central goal to focus on: Becoming better at writing and executing tests. The faster you could write tests, and the more test automation frameworks or languages you knew, the more employable you tended to be. It was easy to think of…
Leapwork today made Leapwork Play generally available. Play is an AI-native enterprise platform built for building, running, and managing Playwright test suites at scale, and it graduates from early access with a free tier, self-service sign-up, and enterprise packages available through Leapwork and its Partner ecosystem. Enterprise release cycles have compressed from quarters to days,…
AI is great at speeding up the process of developing code. LLMs can churn out code dramatically faster than humans. The problem facing organizations that want to build and deploy software faster, though, is that coding is just one step in the broader process of software delivery. Also critical is validating software to make sure…
Say these two phrases out loud: “using AI to test software,” and “testing software that uses AI.” They sound like the same sentence with the words shuffled. In practice, they describe two completely different jobs, and a surprising number of teams are doing the second while thinking they signed up for the first. The gap…
Imagine a car that can drive ten times faster than any other vehicle. That’d be amazing, right? But there’s a catch: when stopped at an intersection, the car has to wait ten times longer for the light to change. Would you drive that car? This is a similar predicament as the one software development and testing…
AI can write a test before you finish your coffee or tea. It can inspect a user story, suggest scenarios, generate Playwright code, and explain why a test failed far quicker than humans can. That’s impressive, especially if your morning routine already includes arguing with a flaky login test. The uncomfortable part is that an…
