Leverage AI as a personalised "code coach" to bridge the gap between manual testing and automation by translating plain English into executable scripts and providing line-by-line logic explanations.

When the first computer bug was discovered in 1947, it was quite literally a moth that had become trapped inside a system at Harvard University that was disrupting the electronics. At that time, the ...

The complexity of software architecture and diverse user interactions presents challenges to conventional testing approaches. Traditional test automation and quality assurance engineering represented ...

AI-powered tooling has been around for quite some time. You may even be using AI-based services without even realizing it. However, they had been mostly a part of a backend and were effective only for ...

RPA vs. test automation: What are the differences? Your email has been sent Automation tools have since adopted 4.0 technologies in their evolution. Part of this adoption uses RPA, artificial ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

SmartBear, helping teams build, test, and ship quality software at AI speed and scale, today announced the release of BearQ, the agentic QA system with always-on teammates that autonomously explore, ...

Rather than relying on predefined test cases or brittle automation scripts, its always-on QA teammates manage the testing ...

Automated testing initiatives still lag behind in many organizations as increasingly complex testing environments are met with a lack of skilled personnel to set up tests. Recent research conducted by ...

New Claude Code features inlcude /loop a short-term automation with a three-day expiry; tasks stop when the session closes, limiting background repeats.

Modern production lines require seamless automation integration, traceable data, uncompromised measurement integrity, and ...