A/B testing answers the question: "Which of these versions will bring me better results, A or B?". It allows you to test two variations of a page to see which has a more positive impact. This could mean increased sign-ups for a landing page, more purchases on an e-commerce store, or even smoother user processes in an app. It all depends on what you want to improve. How does A/B testing work though?
Software development can be challenging, but releasing new features shouldn't be. A feature deployment process can be time-consuming and error-prone without a proper feature flagging system. To me, it should be a fundamental part of the developer's toolbox because it lowers the risk of bugs and complications.