Developed a dynamic programming-based Playlist Creation Count Solver in Java, focusing on combinatorial algorithms to address playlist arrangement constraints. The solution, delivered in the Problem-solve-study/code-store repository, calculates the number of possible playlists of a specified length with a set number of unique songs, incorporating rules on song repetition. This feature established a foundation for scalable counting algorithms and future enhancements such as profiling and multi-constraint support. The work emphasized clear business value and traceability by linking code delivery to specific commits, enabling reliable planning analytics for playlist generation and supporting maintainable, end-to-end feature delivery within a focused project scope.