Quality Engineering

Playwright + MCP: The Automation Power Duo

Introduction Automation is changing fast — and AI is quietly reshaping how we build and run tests. I recently tried combining Model Context Protocol (MCP) with Playwright, and the result honestly felt like a superpower. Why? Because MCP acts as a bridge between an AI assistant and your testing framework. Instead of painstakingly writing every […]

Kanchan
Kanchan
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Quality Engineering

Security and Bias Issues When Testing with LLMs

Introduction: As software development teams start exploring Generative AI and Large Language Models (LLMs) for test and development work, resulting productivity boosts have generated quite a bit of excitement. From authoring unit tests to code diff summarization and supporting exploratory test work, LLMs are becoming useful assets for the QA toolbox. This new technology comes […]

Neha Arora
Neha Arora
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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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