In High Performance Computing, it is often useful to fine tune an application code via recompilation of specific computational intensive code fragments to leverage runtime knowledge. Traditional compilers rarely provide such capabilities, but solutions such as libVC exist to allow C/C++ code to employ dynamic compilation. We evaluate the impact of the introduction of Just-in-Time compilation in a framework supporting partial dynamic (re-)compilation of functions to provide continuous optimization in high performance environments. We show that Just-In-Time solutions can have comparable performance in terms of code quality with respect to the libVC alternatives, and it can provide smaller compilation overhead. We further demonstrate the strength of our approach against another interpreter-based dynamic evaluation solution from the state-of-the-art.