Author: Anil Polywal

The world of software testing is undergoing a radical transformation. As development cycles accelerate, traditional test automation struggles to keep up with the dynamic nature of modern applications. Enter self-healing test automation, a game-changer driven by artificial intelligence (AI) that is redefining how teams approach testing in 2025. The Challenge with Traditional Test Automation Automated tests…

Introduction In the fast-paced world of software development, APIs play a crucial role in enabling seamless communication between applications. As APIs evolve, ensuring their reliability and efficiency becomes increasingly challenging. Traditional testing methods often fall short in handling the complexities of modern API ecosystems. This is where artificial intelligence (AI) steps in, transforming API testing…

The Rise of Super Apps and Their Testing Challenges Super apps — multi-functional platforms that combine services like messaging, payments, shopping, and transportation — are dominating the mobile landscape in 2025. With millions of users relying on these all-in-one solutions, ensuring flawless performance has never been more critical. However, testing super apps presents unique challenges:…

Understanding Shift-Left Testing Shift-left testing is a proactive approach in software development that emphasizes early testing within the development lifecycle. Traditionally, testing has been conducted later in the process, often during or after development. However, by integrating testing at earlier stages — shifting it left on the timeline — teams can identify and address issues…

The Evolving Landscape of Software Testing As we move through 2025, the debate between AI-powered test automation and traditional manual testing continues to shape the software development lifecycle. Both approaches have their merits, but the industry is witnessing a significant transformation driven by artificial intelligence and machine learning advancements. The Rise of AI Test Automation…

The rise of foldable smartphones has introduced a new era of mobile technology, bringing fresh challenges for app developers and testers. These devices, with their unique form factors and dynamic screen configurations, demand innovative testing strategies to ensure seamless user experiences. Companies like Genqe.ai are at the forefront of tackling these challenges, helping developers adapt…

Introduction: The AI Testing Revolution Mobile app testing is undergoing a radical transformation as artificial intelligence reshapes traditional quality assurance approaches. By 2025, over 60% of enterprises will incorporate AI-driven testing solutions into their mobile development pipelines, according to recent industry forecasts. This shift comes as apps grow more complex while release cycles accelerate beyond…

Why Usability Testing Matters With 90% of users uninstalling apps due to poor UX, usability testing has become non-negotiable. It reveals real user pain points, improves conversion rates, and boosts retention by ensuring intuitive navigation and seamless workflows. Step 1: Define Clear Testing Objectives Start by identifying what to evaluate: Step 2: Choose Your Testing…

The Imperative of Continuous Testing In today’s rapidly evolving digital landscape, continuous testing has transitioned from a best practice to a business necessity. As organizations accelerate their digital transformation initiatives, the ability to test early, often, and automatically has become critical for maintaining quality while keeping pace with market demands. Key Drivers of Continuous Testing…

The Growing Complexity of Enterprise Systems Modern enterprise software has evolved into intricate ecosystems comprising: With each code change potentially impacting multiple system components, regression testing has become not just important but essential for maintaining software integrity. The High Stakes of Enterprise Software Unlike consumer applications, enterprise software failures can result in: Key Benefits of…