The text discusses the challenges and solutions associated with implementing a GraphQL server, focusing on the notorious N+1 problem, which can significantly hinder performance by causing excessive database queries. It explains how this issue arises when GraphQL resolvers handle objects individually rather than in batches. Facebook's DataLoader utility is highlighted as a solution, using batching and caching to optimize query execution. However, the text argues that this deferred strategy should be integrated directly into the GraphQL server's core architecture, rather than as an add-on, to simplify implementation for developers. By restructuring the server to handle IDs instead of objects and utilizing a data loading engine, the complexity of solving the N+1 problem is reduced, resulting in more efficient and manageable code. The author shares their experience of building a custom GraphQL server in PHP, emphasizing the benefits of this architectural change and its potential to improve both server and client-side performance.