Technology based on open source evolves every year with novel ideas that break paradigms. This evolution requires the reinvention of toolchains constantly. The performance and security of a SW project could be improved (or affected) by choosing the precise configuration in the compiler, linker, or binary tools available to developers. This presentation aims to show some of the new GNU toolchain features for 2022. Among those new features to discover is the enablement of vectorized half-precision floating-point format (FP16) instructions, heavily used in Deep Learning applications. New optimizations for memory transactions using wider vector registers and the enablement of DT_RELR for x86 platforms give the developers the tools to improve memory-bound applications as well as file size. At the same time, new enhancements on the integrated static analyzer give the developer the capability to detect security bugs easily. Having a better understanding of the toolchains allows developers to showcase the best of new platform architecture technology for users’ applications as well as boost the innovation and security of incoming projects.