Bruno Sacaric's blog post discusses the development and optimization of an All Shortest Paths algorithm within Memgraph, a graph database platform, to efficiently find all weighted shortest paths between nodes. Traditional algorithms like Dijkstra's and Bellman-Ford are explored for their time complexities and suitability for different graph types, while the article details the transition from creating a custom query module in the MAGE library to integrating the algorithm into Memgraph's core. This integration involved implementing a cursor-based query plan and optimizing path storage and retrieval using a map of parent nodes and a Fibonacci heap priority queue. Challenges such as managing algorithm depth and runtime improvements are addressed, leading to a 20% increase in algorithm speed. Sacaric emphasizes the flexibility of Memgraph's C API and the potential for user-contributed algorithms to enhance the MAGE library, inviting contributions from the graph community.