In this post we'll compare rich GraphQL clients that come with a normalized cache implementation and the generated WunderGraph clients that rely on HTTP caching.
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Let us imagine that by writing a handful of GraphQL queries, it would be possible to build a fully functional React application. For a TODO app, we could allow users to login, post, retrieve, update and complete tasks. In this post, I'll explain how WunderGraph could be leveraged to achieve such a thing, and what the implications are.
Today we're happy to announce the launch of WunderGraph which also marks the beginning of the public beta.
Our vision with WunderGraph is to make developing Apps easier.
There has been a phenomenal growth in the adoption of GraphQL and accompanying tooling. As with any new technology however, we are still learning about security, best practice approaches & how to do GraphQL right. There is still debate around when it is appropriate to use GraphQL as opposed to REST or gRPC for example.
This post tells my story about why I created WunderGraph, how I believe that WunderGraph takes the best of GraphQL and REST and puts them together, in a particularly unique way, to help developers to become more productive.