Before revision:  The resulting code is readable and easily extensible, which makes the modeler's work more transparent and flexible.
After revision:  The resulting code is readable and easily extensible, which makes the modeler's work more transparent . Furthermore, Stan's main inference engine, Hamiltonian Monte Carlo sampling, is amiable to diagnostics, which means the user can verify whether the obtained inference is reliable.