Quality Engineering

AI-Powered Test Automation with Playwright MCP: Smarter, Faster, Resilient

Introduction Automated test cases—once seen as the key to efficiency—often turn into challenges of their own. For newcomers, writing that first test can feel overwhelming: learning frameworks, setting up locators, handling waits, and structuring assertions. For experienced teams, the bigger struggle is maintenance—UI changes, shifting requirements, and fragile scripts. Flaky tests only add to the […]

Quality Engineering

Testing machine learning models: A QA guide to responsible and reliable AI

Introduction: AI and machine learning are becoming a part of our everyday lives, shaping everything from the way we get medical advice to how financial decisions are made. But unlike traditional software, these systems don’t just follow fixed rules, they learn, evolve, and change over time. And that makes testing them a whole new kind […]

Quality Engineering

Hosting a Large Language Model Locally for QA Tasks

Introduction The biggest nightmare of a QA when it comes to using an AI for client deliverables is data leak. As we are aware, Once data is shared with many public generative AI models—especially those on third-party platforms—it may be stored and used for future training, posing data privacy and compliance risks, unless the user […]

Quality Engineering

Can AI truly simulate real-world load for non-functional testing?

As systems grow more complex and user demands rise, ensuring performance under real-world conditions is more critical than ever. Traditional load testing often falls short in simulating realistic usage patterns. AI offers a promising alternative—bringing adaptive, intelligent load generation to the forefront. But can it truly replicate the unpredictability of real-world user behavior? Your app […]

Quality Engineering

The rise of automated excellence: How generative AI is transforming quality testing

Introduction In the world of software and hardware development, perfection is the ultimate goal. Every line of code, every circuit board, and every interaction must function seamlessly to meet users’ ever-growing expectations. Historically, achieving this has been a labor-intensive process, relying heavily on manual testing and predefined test cases. However, with the rapid growth of […]

Quality Engineering

Shift left testing: Why early is always better (In Tech and in Life!)

Imagine it’s the wedding season and this year it’s your turn to face the daunting task of planning a big Indian wedding. There’s a million things to do on the checklist so you try to start your preparation months in advance—booking the venues, finalizing the caterers, shopping for outfits, and deciding on the guestlist early. […]

Quality Engineering

Google Analytics Event – Testing Events with Automation

Introduction In today’s digital world, understanding user behavior is the key to optimizing website performance. Google Analytics (GA) is a powerful tool that helps businesses track website traffic, but relying on basic page views is no longer enough. Imagine this scenario: You launch a new signup button on your homepage, but after a week, conversions […]

Akhilesh Kumar
Akhilesh Kumar
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Quality Engineering

Mastering Usability: A Comprehensive Guide to Heuristic Principles

Introduction In the modern world, the effectiveness and expansion of websites, apps, and software are significantly influenced by the user experience. Usability testing is a crucial procedure that helps companies develop products that are easy to use and ultimately help them satisfy customers. Usability testing and its significance are covered in detail in this blog. […]

Richa Binani
Richa Binani
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Quality Engineering

Mastering QA Estimation: Strategies for Accurate Planning in IT Projects

Introduction In the fast-paced world of IT projects, accurate QA estimation is critical for balancing quality, time, and cost. It helps teams predict the time, resources, and effort required for testing activities, ensuring realistic schedules and preventing budget overruns. However, many teams struggle with estimation accuracy, leading to delays, increased costs, and compromised quality. Underestimation […]

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