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 ...

The entry of cloud technology in the software world has fundamentally changed how software is built, deployed, and scaled. Traditionally, applications were released only once or twice a year. Today, ...

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 ...

Penetration testing is undergoing a structural shift. For years, automation meant running scanners faster or scripting repetitive tasks. Today, a new class of tools is emerging, agentic AI systems ...

When internet services platform Cloudflare suffered an outage in November, it took a big chunk of the online world down with it. Major platforms like ChatGPT, X, and Canva became unreachable. So did ...

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 ...

Quick Summary Looking to ensure the reliability and performance of your APIs across complex applications? Discover the top 7 API automation testing tools for software developers in 2026 that help ...

A new intelligent framework enhances lane keeping system safety testing by integrating statistical modeling, optimization algorithms, and real-time validation. It improves test coverage, accuracy, and ...

AI is making it easier than ever to generate code, but harder to maintain quality, well-engineered software. So, does AI-generated code actually reduce the need for testing, or does it demand more ...