Author: Anil Polywal

Introduction In today’s fast-paced software development environment, ensuring comprehensive test coverage is crucial. However, traditional testing methods often fall short in achieving optimal coverage due to time constraints, limited resources, and manual limitations. This is where AI-powered tools like Genqe.ai are revolutionizing the way organizations approach quality assurance (QA). By leveraging artificial intelligence and intelligent automation strategies,…

Cross browser testing is a critical component of software development, ensuring that web applications perform consistently across various browsers and devices. This process is essential for delivering a seamless user experience, boosting customer retention, and preventing revenue loss due to browser-specific issues. However, traditional methods of cross-browser testing can be time consuming and resource intensive,…

The software testing ecosystem is rapidly evolving, and Genqe is at the forefront of this transformation. With its latest product update, Genqe introduces a powerful suite of features that redefine how teams approach test automation. Built for modern QA workflows, Genqe platform leverages AI to simplify complex testing tasks, eliminate bottlenecks, and improve coverage. From…

Speed is no longer just a competitive edge — it’s a critical requirement. In today’s rapidly evolving enterprise landscape, organizations must deliver fast, error-free software releases across increasingly complex platforms like cloud systems, ERPs, and custom applications. The pressure to deliver quality at speed is especially intense for QA leads, testing managers, and CTOs. Traditional…

In the evolving world of software development, testing has transformed drastically — from traditional manual methods to automation, and now, to artificial intelligence (AI)-driven testing. AI testing tools have emerged as vital assets for accelerating test creation, reducing maintenance, increasing coverage, and delivering high-quality releases with reduced manual effort. This article explores the top 9 AI…

Introduction: A Smarter Way to Organize Visual Tests Visual testing helps catch changes in a website’s design or layout, but it often creates hundreds of screenshots that are hard to manage. Percy is a popular tool for visual testing, and now it has a new feature — Test Case Based Grouping — powered by Genqe.ai. This feature helps…

Introduction: A Paradigm Shift in Software Testing Software testing has always been the silent backbone of software quality and user satisfaction. As we move into 2025, this discipline is experiencing a groundbreaking transformation. At the heart of this revolution lies AI-powered testing, a methodology that transcends traditional testing constraints by leveraging the predictive, adaptive, and intelligent…

Big data testing ensures the accuracy, reliability, and performance of vast volumes of data across systems. As data grows rapidly, validating its integrity and usability becomes essential. This guide covers the essentials of big data testing, from understanding what it is to how Genqe.ai streamlines and optimizes the entire testing process. What is Big Data?Big…

Containerization is revolutionizing how software is developed, tested, and deployed. It allows QA teams to build consistent, scalable, and isolated environments for testing across platforms. When paired with test automation, containerization becomes a powerful tool for enhancing speed, accuracy, and reliability. Genqe plays a vital role in this transformation. What is Containerization?Containerization is a lightweight…

A defect in software testing is a mistake or problem in the software that causes it to behave in the wrong way. This could mean the software crashes, shows incorrect results, or doesn’t follow the requirements. Defects can happen at any stage — design, development, or testing. For example, if a “submit” button doesn’t work,…