GraphQLConf 2025

The most natural way to understand fragments is as a reusable part of a query. We at Meta know that this isn't true and can lead to a world of pain when it comes to making sure the data you fetch matches the code that uses that data (no over-fetching).

The worst part is both the GraphQL spec and the educational materials mention re-use for fragments as part of their value:
"Fragments allow for the reuse of common repeated selections of fields, reducing duplicated text in the document."

This talk will explain what we've learned is the best way to use fragments (as subcomponents you convert to in order to pass to the logic that is tied to that fragment).

We will use Relay's per-file graphql co-location as a demonstration of this philosophy in action

Over the past few years, GraphQL has fallen out of favor for developers looking to build full-stack typescript applications. With projects like TRPC and NextJS, many people have started to pigeonhole GraphQL into an enterprise-shaped box. But this doesn't have to be the case! In this talk, Alec will give a practical introduction with live coding to Houdini, a GraphQL-first application framework and demonstrate how to rapidly move from idea to creation with a state-of-the-art developer experience that brings GraphQL back as a contender for the best choice for smaller applications.

Turning a private GraphQL API into a public one comes with unexpected challenges. We’ll share how we approached this transition—starting from an existing internal schema that wasn’t shaped for external consumers—and the steps we took to expose only what was ready. Using Apollo Federation Contracts, we filtered out unstable or sensitive parts of the graph. Along the way, we defined best practices for the public schema, like cursor-based pagination, using oneOf for inputs and results.
We’ll also touch on how we serve the schema through Hive Gateway with a supergraph setup, and the security measures we added, like depth limiting and complexity analysis. To keep things evolving safely, we rely on GraphQL Hive to track usage and guide deprecations.

If you’re thinking about exposing a GraphQL API—or just want ideas for keeping one clean and manageable—this talk will share what worked for us, what didn’t, and what we learned.

GraphQL provides flexibility in fetching data but this can prove challenging for caching. In this talk I cover the basics of caching in GraphQL such as layers you can cache at a high level. Layers such as the CDN, client side, server side, and database are touched upon with solutions from the community. The talk will also cover when to use each layer and what statistics to look at for improvement. I talk about how caching at multiple layers provides the best experience for the end user. By the end of this talk beginners will have a path forward to how they can cache at different layers for better performance.