  In operator overloading algorithmic differentiation, it can be beneficial to
create custom derivative functions for some parts of the code base. For manual
implementations of the derivative functions, it can be quite cumbersome to
derive, implement, test, and maintain these. The process can be automated with
source transformation algorithmic differentiation tools like Tapenade or
compiler-based algorithmic differentiation tools like Enzyme. This eliminates
most of the work required from a manual implementation but usually has the same
efficiency with respect to timing and memory. We present a new helper in
CoDiPack that allows Enzyme-generated derivative functions to be automatically
added during the recording process of CoDiPack. The validity of the approach is
demonstrated on a synthetic benchmark, which shows promising results.
