Test Automation Tools
Test automation blog & resources
Top 10 CI/CD Tools in 2026
The demand for faster, reliable, and scalable applications is fueling the rapid transformation of software development in 2026. CI/CD tools, which are the most critical parts of any modern DevOps pipeline, are at the epicenter of this transformation. Leveraging the right CI/CD tools can drastically accelerate delivery and enhance product [...]
Top 5 BDD Testing Tools – 2026 Review
BDD (Behavior-Driven Development) testing is a software testing methodology that focuses on testing based on business requirements. The goal of BDD testing is to align the testing process with the business requirements so the development team can deliver software that meets the business's needs. This methodology can help improve communication [...]
What is the Inverted Test Pyramid? Why Avoid It
When finding your way through software testing, chances are you've run into a conversation about the testing pyramid. That concept tends to sit high on a pedestal among testers and developers alike. Yet after a while, a different phrase begins showing up more often, the inverted test pyramid. This throws [...]
What is Shift Everywhere Testing? The Future of QA
If you've been in the QA field for a while, you've already seen multiple trends come and go. But through all of them, one message seems to get clearer and clearer – software testing is no longer just an afterthought. Shift everywhere testing is one such concept that helps assimilate [...]
Shift-Right Testing: Guide to Testing in Production
You might be familiar with shift-left testing, an approach that emphasizes testing earlier in the development lifecycle to identify issues as soon as possible. It is a strategy that almost every organization is trying to adopt these days. For good reason, too, as this approach significantly reduces costs and improves [...]
What is Explainable AI (XAI)? Key Techniques and Benefits
From rule-based systems to complex machine learning (ML) and deep learning models that outperform humans in image recognition, natural language processing (NLP), medical diagnosis, and financial forecasting, artificial Intelligence (AI) has rapidly evolved. However, as innovation and development continue, these models grow in complexity and begin behaving like "black boxes". [...]