Platform engineering, often seen as an evolution of DevOps, is a practice focused on designing toolchains and workflows that enable self-service capabilities for developers, especially in cloud-native environments. Despite its portrayal as a new trend, it largely repackages existing concepts, emphasizing the creation of internal developer platforms that streamline the software development lifecycle. The core of platform engineering remains facilitating developers to perform their tasks efficiently while minimizing errors, treating internal platforms as products that require user feedback and continuous improvement. The debate around DevOps versus platform engineering is less about labels and more about function, with success measured not by mere tool adoption, but by tangible improvements in developers' work quality and productivity. Effective platform engineering avoids forced standardization, instead offering flexible, well-supported default paths alongside space for innovation. Additionally, platforms should not be evaluated on usage alone but on their impact, such as reduced delivery lead time and enhanced product quality. The efficacy of a platform lies in its sustained relevance and developer-driven evolution over time, rather than relying on transient trends or superficial metrics.