Over the past year, I’ve been exploring how AI can assist in test automation. After working with various LLM-powered assistants and code-generation tools, I recently built a complete Selenium framework using the Model Context Protocol (MCP). In this post, I’ll share my technical insights, what worked, and what challenges I faced. Context: Where AI-Assisted Testing […]
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 […]
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 […]
In recent years, the field of artificial intelligence has witnessed remarkable advancements, especially with the introduction of generative AI models like ChatGPT. These models have demonstrated capabilities that were once considered the domain of human intelligence, from coding and content creation to image generation and even providing parenting tips. The advent of these technologies marks […]
AgileAndroidAutomation Testing
In the era of agile methodologies and DevOps practices, the traditional boundaries between roles are blurring, necessitating a collaborative approach across cross-functional teams. For testers, this entails gaining proficiency in tools beyond their traditional domain, including Kubernetes—a pivotal platform for container management. Let’s explore how test engineers can harness Kubernetes to expedite application quality assessment […]