The Dark Energy Survey provides a rich dataset to explore the large-scale structure of the Universe through the effect of weak gravitational lensing and galaxy clustering. In order to extract unbiased cosmological information from the dataset, however, one requires robust analyses throughout the pixel-to-cosmology pipeline, such as measuring galaxy shapes and fluxes from images and modeling astrophysics accurately.

In this talk, I will present the path we took, challenges we faced, and our legacy cosmology results using the combination of weak lensing and galaxy clustering.