Native high-level code generation support in MLIR is largely based on the idea of structured code generation, which is often mistaken for being synonymous with the linear algebra (Linalg) dialect. Instead, the structure code generation approach evolved hand-in-hand with the progressive lowering philosophy of MLIR and permeates most of its dialects involved in code generation. This talk attempts to demystify the structured code generation in MLIR by introducing the relevant concepts bottom-up from individual arithmetic operations on scalars, to single instruction multiple data (SIMD) operations on vectors, to manipulations on multi-dimensional tensors. Using small examples and illustrations, it demonstrates that this approach boils down to a handful of concepts largely present in modern hardware though with a slightly different terminology. It does not require deep understanding of MLIR or any specific dialect.