This. Bayesian assumptions are explicit and you'll be forced to defend your priors. Frequentist assumptions like homoscedasticity are implicit and rarely challenged.

I wouldn't be surprised if many people using frequentist methods have no idea what assumptions need to be true for the methods to be valid. In a Bayesian framework you can't avoid the assumptions