Why API Testing Is Important in Your Development Process Including API tests in your test-driven development (TDD) process provides a host of benefits to engineering teams across the lifecycle that get passed down to customers in the form of better quality services. Read on for reasons why. One of the most common ways to see companies benefiting from API monitoring is in production—making sure those live API endpoints are up, fast, and returning the data that’s expected. By monitoring production endpoints, you’re in the loop as soon as anything breaks, giving you a critical head

And suddenly you know…it’s time to start something new and trust the magic of beginnings. One of the Interviewer’s favorite question is Why are you looking for a Job Change? And how do you answer that can make or break the outcome. It might sound greedy – or that you have not learnt anything technical at your previous job – or that you are not a team player – or just that you are a Job hopper. Be intelligent, and answer aptly. Why are you looking for a Job Change? Yeah! Today I am resigning

If you’re an Android developer, you’re probably familiar with Google’s Espresso test automation framework. As an open-source tool, it’s very easy for developers to use and extend within their working environment (Android Studio IDE). But before discussing the benefits of Espresso, let’s understand the motivations and pains developers and test automation engineers face today while trying to validate their Android application (APK) throughout the build/dev/test workflow. Each build needs to be validated after code changes are made. Dependencies on remote servers and other workstations for testing slow down the process. Unit and functional tests need

Are you worried that artificial intelligence (AI) will soon replace all visual testing and QA teams? Don’t be. Autonomous testing tools are here to help, not replace you. Besides, testers and QA teams should be spending more time thinking about business value—that is, putting more effort into thinking about how to test and ensure quality—rather than performing automation testing just as a means to an end. Here are the six levels of testing so you can avoid getting caught flat-footed in the AI testing revolution. Level 0: No autonomy     Congratulations! You write code that tests the application,