Author: Anil Polywal

As AI adoption accelerates across industries, the infrastructure supporting intelligent applications is evolving just as quickly. Federated learning — where AI models are trained and operated across distributed devices like mobile phones, wearables, and IoT sensors — has emerged as a game-changing approach for privacy-preserving AI. But with it comes an important and complex question:…

As industries increasingly rely on digital twins—virtual replicas of physical systems—to optimize performance, predict failures, and simulate real-world behavior, the need to test these systems rigorously has become more important than ever. With AI entering the fold, testing digital twins is no longer just about validating models; it’s about building trust in a system that…

What is Regression Testing and Why is it Important? Regression testing involves re-running functional and non-functional tests to ensure that previously developed and tested software still performs as expected after changes. This process is crucial for maintaining software stability and reliability during development or maintenance. When to Carry Out Regression Tests It’s advisable to perform…

As software systems become increasingly complex and user interactions grow more dynamic, traditional manual testing and scripted automation are beginning to hit their limits. Enter synthetic testers—AI-driven agents designed to mimic the behavior, thinking patterns, and decision-making processes of human testers. Synthetic testers are not just automation scripts. They are intelligent entities capable of exploratory…

Multi-modal systems introduce a unique blend of challenges: Traditional test automation simply can’t keep up. Genqe.ai reimagines testing with AI at its core. How Genqe.ai Powers QA for Multi-Modal AI Here’s how Genqe.ai addresses the complexities of testing multi-modal AI systems: AI-Powered Test Generation for Multi-Modal Workflows Genqe.ai automatically identifies and models real-world user flows…

Modernizing QA with Genqe.ai’s AI-Powered Testing Super Apps—integrated platforms that combine services like payments, messaging, e-commerce, booking, and social engagement—have redefined the digital experience. With high complexity and immense user expectations, these apps demand a reimagined QA strategy to ensure quality, reliability, and rapid delivery. In 2025, the key to success lies in intelligent, scalable,…

Using Genqe.ai to Fortify Your Digital Infrastructure In 2025, ensuring the resilience of software systems is not a luxury — it’s a necessity. As businesses scale across cloud-native architectures, microservices, and hybrid environments, unexpected failures are inevitable. That’s where chaos engineering steps in — an approach that proactively injects controlled failures to uncover weaknesses before real users are impacted.…

Modern software demands modern testing strategies. If you’re aiming to boost quality, reduce release cycles, and ensure smooth user experiences, then it’s time to level up your testing process. This guide explores practical strategies, from shift-left testing to AI-powered automation — centered around one powerful solution: Genqe.ai. Perform Shift-Left Testing to Catch Defects Early Shift-left testing is…

In the evolving world of software development, delivering quality software consistently requires structured and scalable testing approaches. One of the most essential components in this process is the test suite. Powered by tools like Genqe.ai, test suites enable teams to efficiently manage, automate, and execute critical tests—ensuring high-quality, bug-free software releases. What is a Test…

In the fast-paced world of software development, maintaining quality while accelerating delivery is non-negotiable. Two critical pillars of this process are software testing and debugging. Though often used interchangeably, these are distinct activities with unique objectives, methods, and outcomes. Understanding when to test and when to debug can dramatically improve software quality and team efficiency.…