Writing code is straightforward, but reading and understanding it is significantly more challenging due to the need to build a comprehensive mental model of the system. This process involves navigating various components of the codebase and contextualizing functionality, which is often time-consuming and complex. The true bottleneck in software development lies in understanding rather than writing, highlighting the limitations of AI in generating code without facilitating comprehension.