AI's integration into software development is reshaping the role of developers, emphasizing skills beyond just writing code and introducing the concept of AI experience (AI-X). Developers are now required to possess strong product thinking abilities, detailed business understanding, and the capacity to articulate precise requirements, as AI-generated code relies heavily on the quality and clarity of these inputs. As AI can produce confident but potentially inaccurate solutions, developers must design modular and scalable architectures that account for AI's limitations in understanding broader contexts and strategic trade-offs. They are also responsible for creating AI-friendly documentation that provides comprehensive business and technical contexts, enabling AI to generate more appropriate solutions. A two-tier code review process is advocated, where developers actively critique AI suggestions in real-time and conduct traditional peer reviews to ensure code quality and alignment with business logic. Teaching AI constraints through enhanced linters, contextual formatters, and intelligent tests further enables developers to guide AI in adhering to specific architectural and business rules. Overall, AI-X aims to enhance efficiency without compromising safety, necessitating human oversight in architecture design and decision-making, while facilitating low-friction, high-trust automation.