We look at metaprogramming in Julia. We illustrate parse and eval using the problem of determining a minimal model for a given propositional formula. The computation of minimal models is of interest in answer set programming, as they are used to define stable models 1. The problem of finding a minimal model is NP-complete, whereas the problem of finding a stable model for a given set of propositional statements is $\Sigma_{2}^{P}$ complete.