How API Query Languages Prevent Overfetching and Underfetching

Lucas and Luna explore how API query languages like GraphQL and OData solve the fundamental problems of overfetching and underfetching that plague traditional REST endpoints. Using Stripe's API evolution, GitHub's GraphQL migration, and Netflix's internal tools as examples, they break down why giving clients control over response shapes reduces bandwidth, improves app performance, and simplifies versioning. But they also get honest about the trade-offs: complexity, caching challenges, and query cost analysis. If you've ever debated REST vs GraphQL on a team, this episode gives you the concrete numbers and design decisions to make the call. #APIQueryLanguages #GraphQL #OData #Overfetching #Underfetching #REST #Stripe #GitHub #Netflix #APIDesign #DeveloperExperience #APIVersioning #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #DevTools #SoftwareEngineering #APIOptimization Keep every episode free: buymeacoffee.com/fexingo