A modern software approach to testing can lead to modern testing results. It will not take years of refactoring and management; in fact, it’s not very complicated.

Final Thoughts The evolution from continuous automation testing to autonomous testing platforms represents a paradigm shift in software testing. By embracing AI and genAI-infused tools such as ...

Google is testing a new vibe-coding tool called Opal, available in the U.S. through Google Labs, that lets users quickly spin ...

Testers randomly check the software, relying only on their intuition and experience. Usually, ad hoc testing is applied after all regular test techniques to find the missed bugs.

Examples of such AI dev/test assistants include GitHub Copilot for coding and Test Rigor for intelligent automated testing. These assistants, based on generative AI and large language models ...

Meta told employees that it is going to allow some coding job candidates to use an AI assistant during the interview process, ...

Further, a QA team with 500 manual tests averaging five minutes per test were able to automate half of those tests to perform them in five seconds, saving 20 hours of testing per regression cycle.

Automated software testing plays an important role in ensuring quality at every stage of software development. This article discusses how to get started using Python’s Robot Framework.