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The latest News and Information on Software Testing and related technologies.

How to Build a QA Culture: Why Your Whole Team Should Write Tests (Not Just Engineers)

Quality Assurance used to be the responsibility of a single department. But today, the most effective software teams treat it as a shared responsibility, and the results speak for themselves. There’s a quote from one of Ghost Inspector’s customers that highlights this shift: “The victory for us is how Ghost Inspector has changed the face of QA in our company. We are beginning to grow what I believe is a QA culture.

10 Ways to Optimize API Performance Testing for Faster, More Reliable Results (2026 Guide)

Many teams dedicate time and resources to API performance testing, yet still face sluggish releases and delayed deployments. Incidents slip through, and users encounter slow applications. The root cause? Too often, teams treat performance testing as a checkbox, without truly simulating real-world loads or analyzing key performance metrics such as latency, throughput, and error rates. This leads to a false sense of readiness that quickly unravels in production environments.

Why the "tsunami of code" is breaking QA | From the Bear Cave Ep. 3

Recent SmartBear research shows that 70% of teams are already seeing quality degrade with AI-generated code, creating a real bottleneck in the software-development lifecycle (SDLC). As output increases, QA teams are left choosing between delaying releases to validate changes or shipping faster with less confidence in what’s actually working. In this From the Bear Cave clip, SmartBear CEO Dan Faulkner and CMO Kelly Wenzel dig into a growing gap in modern software development: how AI is accelerating code generation but testing and quality validation aren’t scaling with it.

Velocity can't come at the cost of quality

AI-generated code is flooding your pipelines. Your test automation debt is piling up. If this sounds familiar, you're not alone. Velocity can't come at the cost of quality. As AI transforms how we build software, API testing must evolve. Join Justin Collier, Senior Director, Product Management, and Yousaf Nabi, Developer Advocate, to explore the future of API testing in an AI-driven world.

How Redundant Data Storage May Be Hurting Both Your Bottom Line and the Environment

Unaccounted data copies within non-production environments can make enterprises vulnerable to cyber theft. Non-production environments — which are often less secure than production environments — are treasure troves for hackers seeking to steal customer data. How many copies of test data are currently floating around your organization’s non-production environments?

Why traditional QA metrics fall short as AI enters the pipeline

Take this scenario: Your team ships a release with 91% code coverage. Every test in the suite passes. The pipeline is green, and leadership signs off. But two days later, a critical defect surfaces in production. Upon investigation, you find that the changed code was never actually tested, and the tests that were run covered different paths entirely. That 91% was real, but it was just measuring the wrong thing. And as AI tools generate more of the code inside those pipelines, the gap widens.

How to Create Realistic Load Testing Scenarios for E-Commerce Websites in 2026

Many e-commerce teams leave load testing feeling reassured, only to watch their sites falter when real customers arrive. This gap stems from traditional testing methods that generate misleading results, often concealing the actual risks beneath the surface.

Patient Portal Software: Features, Costs & Development Guide (2026)

Healthcare is no longer compared to other hospitals. It’s compared to digital-first experiences across industries. Speed, transparency, and self-service are now baseline expectations. Recent insights from McKinsey & Company show that consumers are taking a far more active role in managing their health and expect easier, digitally enabled interactions across their care journey. At the same time, health systems are under pressure to modernize.

Top 7 Cloud Testing Tools for Performance Testing in 2026

Many development teams remain tied to legacy on-premise performance testing. These setups require dedicated hardware, manual orchestration, and time-consuming local environment configuration. For teams releasing multiple times a week, this approach quickly becomes a source of frustration. Bottlenecks emerge not only during test execution but also in sharing results.

How to Set Up Automated Load Testing for Microservices Using LoadFocus (2026 Guide)

Traditional load testing methods fall short when applied to the complexity and pace of microservices. Attempting to test dozens or even hundreds of independent services with manual scripts or ad-hoc plans quickly becomes unmanageable. Each service may use a different language, run in its own container, and scale independently, making it easy to overlook critical bottlenecks.