action-label-syncer VS graphql-mesh

This is when we strongly felt the need to sync/orchestrate labels across all the repositories while also respecting the differences between the projects (one size may not fit all). This led us to a proof of concept with different label syncing tools and after quite a bit of analysis, we landed on Label Syncer to manage both master and repository level declarative labels (If someone from Github is reading this, maybe this should be an inbuilt feature 😇)

For me, automating the management of issue labels on GitHub was a small but important step to achieve consistency across my repositories. Many different tools exist to either sync or create labels, and after evaluating a few my choice fell on Label Syncer. Most importantly, its fully configured in code and as a GitHub Action part of the repository it manages.

I played with building out a graphql mesh [0] of a few different APIs as I was curious to see if I could build one schema (and subsets of it) and have GPT interface over that. Turns out, it did a pretty good job if you can provide it the right portions of the schema it needs.

It also helped out when I was struggling to reconcile with how large of JSON payloads I was getting. The REST endpoints are just killing the prompt size, but having the model choose the fields it needed from GraphQL really helped out there.

Put it down for a while until I can get access to the plugin fine-tuned version of chatgpt and see if there's still a need or if it is additive still.

[0] https://github.com/Urigo/graphql-mesh/

graphql-mesh is a tool that allows you to integrate backend microservices (whether they are REST with OpenAPI specs, GraphQL, etc.) into a single GraphQL Gateway. It's easy to set up as it generates schemas, queries, and mutations based on the provided specifications. You only need to implement additional properties for data aggregation

You might be able to integrate existing API's with https://www.graphql-mesh.com/ but keep in mind this will add latency and you won't get all the full benefits of implementing native graphql services.

Recent projects such as GraphQL Mesh or products such as Hasura Cloud proved that GraphQL has a purpose beyond the simple front-end/mobile apps fetching challenges.

I’ve seen more products letting you join/merge GraphQL schemas independent of schema stitching or federation. Have a look at GraphQL Mesh or StepZen.

Libraries like GraphQL Mesh, on the other hand, automatically stitch multiple data sources into one single GraphQL API. This can save development time, but, like libraries that do a lot for you, you may need to provide custom overrides.

GraphQL Mesh acts as a proxy to your existing APIs, and gives you the developer ultimate control over how data is retrieved. It doesn't matter if your API is GraphQL, gRPC, Swagger, Postgres, and non-typed APIs. GraphQL Mesh can figure out how to transform your GraphQL query to the respective API.

Doing this was pretty simple. You can find the repo here which is used as the master repository to push all the labels downstream and we still retain the repo specific labels in their own repository (like this)

You can find a complete working example on GitHub