YAGNI—“You aren’t gonna need it”—limits complexity by implementing only functionality that is actually needed. It favors simple designs over speculative abstractions and keeps software and ML systems maintainable. section 16.4
Simple metric code versus overengineering
A metric pipeline may need only functions for reading data, calculating the metric, orchestrating a loop, and saving results. Repeating the steps is simpler than introducing metaprogramming and elaborate patterns for the same job; an overkill model can likewise consume valuable business resources. section 16.4
Figure 16.4 Just like a basic model will end up underperforming and failing to meet the project goals, an overkill solution will devour valuable resources of a business.
Use the figure to contrast an underpowered solution with an overbuilt one that consumes disproportionate business resources. section 16.4
