A weekly newsletter of the best news, articles and projects about GraphQL

In this article, Ike Gabriel Yuson delves into the intersection of GraphQL and generative AI, demonstrating how Amazon Bedrock and AWS AppSync can be leveraged to build scalable and extensible applications. The author illustrates the benefits of using GraphQL's flexible schema and query capabilities to seamlessly integrate AI-generated content with existing data sources. By exploring real-world use cases and best practices, this article provides a comprehensive guide for developers seeking to harness the power of GraphQL in their generative AI projects.

For over a year Stellate has been shipping iterations of partial query caching (PQC), a feature set that leverages GraphQL’s novel structure to improve performance. Performance means different things to different people, but they’ve been building for two roles in particular: engineers and end-users (users). They’ve already shipped big wins for developers with PQC, but it only benefited users in specific scenarios. Today, they’re introducing native support for PQC + @defer so that everyone wins.

In this article, the author provides a comprehensive guide to implementing a GraphQL server using Ballerina. The article delves into the benefits of using Ballerina for building scalable and efficient GraphQL servers, highlighting its strengths in handling concurrent requests and providing robust error handling. With a focus on real-world examples and best practices, the author walks readers through the process of setting up a GraphQL schema, defining resolvers, and integrating with databases. By mastering Ballerina's GraphQL implementation, developers can build robust and performant APIs that seamlessly integrate with their existing technology stacks.