AI coding assistants are everywhere. One minute you’re writing a simple function, the next minute they’re suggesting a full refactor, 200 lines deep, with tests you definitely didn’t ask for. According to recent research, three out of four developers already use AI tools every day, which means the “AI wrote this” moment is pretty much […]
This article explores how Yousician built a successful experimentation program, covering platform selection, analytics infrastructure, feature flagging practices, and maintaining the balance between optimization and innovation. Selecting your initial experimentation platform When starting an experimentation program, the temptation to build a custom solution can be strong, particularly for engineering-focused organizations. Yousician initially considered this […]
While the answer isn’t universal, it hinges on several critical factors including your organization’s size, testing maturity, technical capabilities, and business goals. Understanding when a platform becomes necessary versus when simpler solutions suffice can save both time and resources while ensuring you make data-driven decisions effectively. What A/B testing platforms actually do (beyond the obvious) […]
