wundergraph-demo VS refute

If you want to follow along and experience these patterns yourself, you can clone this repository and play around.

Thanks to our GraphQL Operation Compiler, we're in a unique position that allows us to only send the "Operation Name" as well as the "Variables" to the server. This approach makes our GraphQL API much more secure as it hides it behind a JSON-RPC API. You can check out an example here, and we're also open sourcing the solution soon.

I've been working on this problem for a few years actually. What I came to realize is that 99% of all (GraphQL) APIs are private, meaning that we don't expose them to a 3rd party. One aspect of private GraphQL APIs that is almost always true is that the access patterns don't change at runtime, meaning that when deployed to production, the Operations don't change any more. What this means is that in production, we don't really need GraphQL. We don't benefit from GraphQL in production anymore, as we're not writing dynamic Operations. Instead, we could compile the GraphQL Operations that we need into a REST API. This step adds extra complexity, but reduced the attack surface and improves performance. To reduce the overhead, I've created a developer tool. WunderGraph! It compiles your GraphQL APIs into REST Endpoints and generates typesafe clients for them. The DX is still the same, you write GraphQL Operations and use a typesafe client. But behind the scenes, it's just REST. We even generate a Postman Collection, so you can easily share the generated API with your team. Here's a demo if you'd like to try it: https://github.com/wundergraph/wundergraph-demo We're open-sourcing the solution very soon! =)

Alternatively, you can also just run "wunderctl init --template nextjs-starter" to start with the NextJS template. (Obviously you need to install it first: yarn global add @wundergraph/wunderctl@latest)

We're going open source with this solution soon. So, any feedback is appreciated! You can also join our discord and shoot questions. =)

[0]: https://github.com/wundergraph/wundergraph-demo

WunderGraph: click here!

It's already possible. Here's a demo: https://github.com/wundergraph/wundergraph-demo

Shameless plug, you can use Federation, Schema Stitching, REST APIs, etc. all together and even transition from one to the other, here's a demo: https://github.com/wundergraph/wundergraph-demo

I find straight forward, dedicated combinators much more readable and practical to use ie. for iterables (context where it makes a lot of sense) [0] example [1], runtime assertions (through refutations, which are much faster than combinators over assertions) [2], parser combinators for smallish grammars [3] etc.

In many cases vanilla/imperative js is more readable and terse, no need to bring functional fanaticism everywhere, just in places where it gives true benefits and in form that can be understood by peers.

Functional code can be beautiful and can also be unreadable/undebugable. Same with imperative code. It's great in js/ts you can pick approach where the problem is expressed more naturally and mix it at will.

[0] https://github.com/preludejs/generator

[1] https://observablehq.com/@mirek/project-euler

[2] https://github.com/preludejs/refute

[3] https://github.com/preludejs/parser

We use jsonrpc over websockets in production for many years in trading services. It works very well. We use lightweight libraries that look like this [0] and this [1]. It's lightweight, fast, type safe, easy to maintain and debug etc.

[0] https://github.com/preludejs/jsonrpc

[1] https://github.com/preludejs/refute

Types can be asserted at runtime (parsed) at IO boundaries (reading http request or response, websocket message, parsing json file etc). Once they enter statically type system they don't need to be asserted again.

The difference it makes is illusion of type-safety vs type-safety this article touches on.

You can try to bind service with client somehow but in many cases this will fail in production as you can't guarantee paired versioning, due to normal situations by design of your architecture or temporary mid-deployment state or other team doing something they were not suppose to do etc. It's hard to avoid runtime parsing in general.

Functional combinators [0] or faster [1] with predicate/assert semantics work very well with typescript, which is very pleasant language to work with.

[0] https://github.com/appliedblockchain/assert-combinators

[1] https://github.com/preludejs/refute