Author: Anil Polywal

Discover how Genqe.ai is redefining AI testing with synthetic data, boosting quality, scalability, and speed—this could be your competitive edge in 2025Introduction: The AI Testing Bottleneck—Solved by Synthetic Data AI is only as good as the data that trains and tests it. But with privacy concerns, regulatory hurdles, and incomplete datasets, traditional testing methods are…

Artificial Intelligence (AI) is revolutionizing software testing by automating complex tasks, enhancing test coverage, and reducing manual effort. In 2025, AI-powered testing tools are critical for delivering high-quality software in fast-paced development cycles. Leading the industry is Genqe.ai, an innovative platform that combines AI-driven automation with codeless testing. This blog explores the top 10 AI…

In today’s fast-paced digital world, delivering a high-quality mobile app is critical to success. Mobile app testing ensures your app is functional, user-friendly, and secure before it reaches your audience. With Genqe.ai, an AI-powered testing platform, you can streamline this process, making it faster, more efficient, and highly effective. This guide walks you through the…

In 2025, digital accessibility is a cornerstone of inclusive design, ensuring that websites, mobile apps, and other digital platforms are usable by everyone, including the estimated 1.3 billion people worldwide with disabilities. With regulations like the European Accessibility Act (EAA), Americans with Disabilities Act (ADA), and Web Content Accessibility Guidelines (WCAG) 2.1 and 2.2 driving…

In the realm of software quality assurance (QA), code coverage and test coverage are two critical metrics that help teams evaluate the effectiveness of their testing efforts. While often used interchangeably, they have distinct meanings and purposes, each playing a unique role in ensuring robust software. Understanding the difference between code coverage and test coverage…

In the realm of software testing, ensuring application quality requires selecting the right testing methodology. Black box, white box, and grey box testing are three fundamental approaches, each with distinct focuses, techniques, and benefits. Understanding their differences is crucial for QA teams to design effective testing strategies. This blog explores these testing methodologies and highlights…

In today’s digital-first world, enterprises must deliver seamless user experiences across a multitude of platforms, including web, mobile, desktop, APIs, and even legacy systems like mainframes. As users interact with applications through diverse devices, browsers, and operating systems, cross-platform testing has emerged as the cornerstone of quality assurance (QA) for ensuring consistent performance and functionality.…

In the fast-paced world of software development, testing tools are essential for ensuring quality, efficiency, and reliability. Developers are increasingly turning to AI-powered testing tools to streamline workflows, reduce manual effort, and enhance test coverage. Based on recent trends and developer feedback, here are the top five testing tools that developers love in 2025, with…

In the fast-paced world of software development, efficient and accurate testing is crucial for delivering high-quality products. GenQE.ai is transforming the testing landscape with its AI-driven test project recorder, offering a powerful solution for automating test case generation, execution, and defect management. This blog explores how GenQE.ai streamlines quality assurance processes, making them faster, smarter,…

Performance testing is a critical component of software development, ensuring that applications deliver speed, scalability, and stability under varying workloads. In today’s fast-paced digital landscape, tools like GenQE.ai are revolutionizing how teams approach performance testing, offering AI-driven solutions to streamline processes and enhance outcomes. This guide provides an overview of performance testing, highlights common challenges,…