What must be created to profile custom Gosu code effectively?

To effectively profile custom Gosu code, creating custom profiler tags is essential. These tags serve a critical purpose in performance monitoring by allowing developers to identify specific sections of code that may require optimization. By using custom profiler tags, developers can gather detailed information about the execution time and resource usage of different portions of their code, enabling targeted enhancements that improve overall application efficiency.

The use of custom profiler tags allows for insightful analysis, which ultimately aids in diagnostics and performance tuning. This process is much more streamlined and effective than any of the other methods mentioned. For instance, new user roles focus more on access and permissions rather than code performance. Database views generally involve data presentation rather than code profiling. User interface mockups are aimed at UI design rather than backend performance metrics. Therefore, custom profiler tags are the most applicable tool for profiling custom Gosu code accurately and efficiently.