Reviewers consistently say RightNow AI is most useful for CUDA work: it quickly spots kernel bottlenecks, gives clear optimization suggestions, and makes profiling easier without forcing deep low-level analysis. Users repeatedly praise the clean interface, straightforward workflow integration, and time saved on debugging and tuning. The overall sentiment is strongly positive, especially from developers in GPU, ML, and high-performance computing. Still, the feedback is one-sided and light on drawbacks, so the picture here is mainly of a helpful, accessible optimization tool rather than a fully tested consensus.