QASource Blog

Web3 is the third generation of the internet currently being built, where websites and apps will be able to process information in a smart human-like way through technologies like artificial intelligence (AI), machine learning (ML), Big Data, decentralized ledger technology (DLT), and more.

Discover the benefits of No-Code Kubernetes and Harpoon Docker Extension for Kubernetes cluster management. Deploy and manage clusters with drag-and-drop tools without coding. Learn about Harpoon's custom integrations and third-party capabilities.

The blog delves into how AI revolutionizes performance testing, enhancing efficiency, accuracy, and user experiences. Discover intelligent testing, predictive analytics, real-time monitoring, and the changing role of engineers.

Testing remains a cornerstone for delivering impeccable products in the dynamic world of software development. With AI's emergence in this domain, there's a buzz about its capabilities. But the question remains: Can AI-driven testing truly match the discernment of a seasoned software tester? Let's dive deeper.

Businesses rely on mobile apps more than ever. In this edition of the expert series, we will discuss the common mobile application vulnerabilities along with their resolutions.

Mobile testing can be done efficiently with ChatGPT's AI capabilities and human oversight. This approach improves testing coverage and quality while ensuring data privacy and identifying potential issues for a seamless user experience.

In the ever-evolving software testing landscape, one approach has been swinging into the spotlight – Monkey Testing. This unconventional and dynamic software testing method has gained traction recently due to its ability to uncover critical bugs and vulnerabilities that traditional testing methods might miss. This blog post will dive into Monkey Testing, its latest trends, and the technologies shaping its future.

ChatGPT, the acclaimed AI language model developed by OpenAI, excels at generating human-like text across domains. However, ChatGPT needs more clarity and readability regarding code generation. This blog explores real coding examples that illustrate these issues and discusses strategies to overcome them. By addressing these concerns, developers can unleash the full potential of intelligent code generation and enhance the quality of their software projects.

Healthcare is one of the most rigorous and unique areas when building and testing software products. Product companies in this space are helping doctors, patients, and other medical professionals reimagine what’s possible with wearable technology, hospital indexing systems, and countless other innovations.