What long-term architectural risks do engineering departments assume when they shift their continuous deployment strategy toward codeless automated testing frameworks that promise plain-English script generation? Furthermore, modern platforms leverage machine learning to implement self-healing tests, which can mask underlying document object model inefficiencies behind automated visual corrections. How do you ensure high-quality software when your team stops writing structured code?