AI code can be both simple and complex, depending on the task or project being implemented. Generally, AI code requires a deep understanding of algorithms and data structures, as well as programming experience in multiple languages. It is also important to understand the underlying principles of AI and machine learning, such as deep learning and reinforcement learning. AI code can be tricky to debug and optimize, so it helps to have an in-depth understanding of the algorithms being used. Additionally, AI code often requires extensive data manipulation and processing, so it is important to have a good understanding of data structures and algorithms.