Porting applications to GPU-based heterogeneous systems is far from a trivial task. Those systems offer exceptional performance potential, but require specific knowledge to utilize correctly. The basic tools do not offer the level of abstraction to make GPU easy to use for a non-specialist. Many external tools aimed to correct that problem. In this paper we categorize them in broad terms, compare them to the use of the base GPGPU technologies, and discuss their future potential.