Cloud development environments (CDEs) have evolved from solving simple compatibility issues to becoming essential for secure and AI-assisted engineering. Coder and Ona, two prominent CDE providers, initially addressed similar challenges such as reproducible environments and scalable infrastructure but have since diverged in their approaches. Coder remains focused on self-managed systems that offer flexibility and require user control, making it ideal for teams with strong platform engineering capabilities. Conversely, Ona has shifted to a vendor-managed model that simplifies operations and focuses on secure automation, allowing teams to concentrate on engineering tasks without managing the underlying infrastructure. This difference reflects a philosophical split: Coder offers control and customization, whereas Ona provides ease of use and minimal operational overhead. The platforms also vary in their approach to AI-assisted development, with Coder requiring user-defined configurations and Ona offering built-in, secure agents. Ultimately, organizations must choose between managing complexity themselves or opting for a service that provides rapid evolution and integration, with Coder suiting teams seeking full-stack control and Ona appealing to those desiring a streamlined, secure environment for AI-enhanced engineering.