Author: Anil Polywal
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Introducing Performance Testing
In an increasingly interconnected world powered by APIs, the performance of your backend systems can no longer be treated as an afterthought. As organizations strive to meet the demands of scale, user expectations, and real-time digital experiences, performance testing becomes not just valuable — but essential. That’s why at Genqe.ai, we’ve taken a bold step: we’ve…
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In Defense of Comprehensive End-to-End Testing
In today’s fast-paced development landscape, software quality is non-negotiable. Yet, as the complexity of applications increases, so does the need for robust and reliable testing strategies. Among all testing methodologies, comprehensive end-to-end (E2E) testing stands out as one of the most effective ways to ensure your application functions seamlessly across the entire user journey. Despite…
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DevOps Metrics for Software Testing: A Strategic Perspective with GenQE.ai
In the fast-evolving world of software development, DevOps has redefined the pace, quality, and reliability of delivery pipelines. At the heart of this transformation lies a critical pillar — software testing — which ensures the stability and performance of software before it reaches end-users. To optimize and monitor this process, organizations increasingly rely on DevOps metrics, which offer…
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A Framework for Using Generative AI in Software Testing
The landscape of software testing is rapidly evolving, and generative AI is at the heart of this transformation. By harnessing the power of advanced machine learning and large language models, organizations can reimagine how they validate, verify, and deliver high-quality software at scale. This article outlines a structured approach for leveraging generative AI across the…
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Uncovering Testing in DevOps Trends for 2025
In 2025, the landscape of DevOps is undergoing a significant transformation, with testing emerging as a central pillar in the software development lifecycle. The integration of artificial intelligence (AI), the balance between manual and automated testing, and the emphasis on security and compliance are reshaping how organizations approach software quality. Platforms like GenQE.ai are at…
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Defining Good Test Coverage with Unit Testing and End-to-End Testing
In the ever-evolving world of software development, test coverage remains one of the most debated and misunderstood quality metrics. Organizations strive to build reliable, scalable software, but achieving “good” test coverage isn’t as simple as hitting a percentage threshold. Instead, it requires a strategic blend of testing practices, from unit tests to end-to-end (E2E) validations,…
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Promoting Security in Cloud-Based Test Automation
Why Cloud Testing Needs a Security-First Mindset and How to Achieve It As more software development teams adopt cloud-based test automation to boost scalability, speed, and agility, one crucial element often lags behind: security. While cloud testing offers tremendous benefits — like anytime/anywhere access, seamless parallel testing, and elastic environments — it also introduces new…
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The Business Case for Rigorous Mobile App Testing
How Investing in Quality Saves Time, Builds Trust, and Drives Growth In today’s mobile-first world, your app isn’t just a product — it’s your brand, your storefront, and your customer relationship manager, all rolled into one. As expectations for performance, security, and usability soar, the margin for error has never been thinner. Users expect apps…
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AI-Powered Software Testing: What You Missed at GenQE.ai Experience 2025
The GenQE.ai Experience 2025 wrapped up with a bold vision and sharp focus: AI isn’t just augmenting software testing — it’s transforming it. This year’s event brought together leaders in QA, engineering, and DevOps to explore how GenQE.ai platform is reshaping testing strategies in organizations of every size and sector. If you missed the experience, here’s…
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Why People Hate Unit Testing — and How to Bring Back the Love
Rethinking Unit Testing with GenQE.ai Unit testing is often touted as the cornerstone of high-quality software development. In theory, it should be the easiest and most effective way to catch bugs early, improve code reliability, and support continuous delivery. But in practice, many developers dread it. Why does something designed to help end up being avoided, postponed, or…