Most testing strategies collapse under the weight of modern software development demands. But speed requirements continue to increase while application complexity grows, which creates an impossible ...

The rise of artificial intelligence (AI) in quality assurance (QA) has led to a huge shift in the industry. It’s common for people to think about AI as a force that does the work of people, only in a ...

Generative AI is rapidly changing how software is designed, built, and maintained. As these systems become more capable, they are also reshaping how quality assurance teams approach testing, ...

It should come as no surprise that container orchestration platforms like Kubernetes now dominate production environments. Their ability to offer scalability, high availability, standardization, ...

In a recent article about upgrading continuous testing for generative AI, I asked how code generation tools, copilots, and other generative AI capabilities would impact quality assurance (QA) and ...

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, ...