Articles

Load testing a signup API revealed three hidden bottlenecks, emphasizing the need for performance optimization in software development.

When AI answers come from your data, testing must ensure they come from the right data — and nothing else.

Discover the importance of software testing and how to balance fast unit tests with complex end-to-end journeys using Playwright. Learn about the future of the industry and how AI-powered agents can help you author stable, auto-healing tests.

As AI systems become increasingly sophisticated, they also become more vulnerable to word-based attacks. To protect these systems, it's essential to test their security and implement best practices to prevent jailbreaks.

As I delve into software quality assurance and test automation, a layered testing approach has caught my attention. This method involves combining various testing tools and frameworks to ensure comprehensive testing.

Most teams assume they can recover from a major outage, but disaster recovery testing is what separates assumed resilience from proven recovery. It evaluates recovery time objective, recovery point objective, and operational readiness.

Every year, millions of Americans receive a cancer diagnosis, but a new approach is rewriting the rules of cancer treatment. OncoDxRx's PGA Assay is using RNA analysis to provide a more accurate and non-invasive way to detect cancer.

Learn a pentester's approach to identifying and exploiting security misconfigurations in APIs.

While automated testing has become a crucial part of software development, there are still some tests that cannot be automated. In this article, we'll discuss the limitations of automated testing and why human testers are still essential.

A parenting moment and a design thinking pivot led the author to learn valuable UX lessons from a ziplock of ice, which they believe can be applied to designing AI experiences.

Discover the effective study plan and tips used to pass the ISTQB certification in a short period of time.

Designing systems around data flow, transformation, and coordination is a key aspect of software architecture. In this approach, data is processed through a pipeline or broker, enabling efficient and scalable system design.