Question 1

How to add custom resolvers in Pylon?

Accepted Answer

Pylon allows custom resolvers by extending the generated schema, but it follows conventions that might limit advanced patterns. You can override resolvers for specific fields, though documentation on complex use cases may be sparse.

Question 2

Does Pylon support GraphQL subscriptions?

Accepted Answer

The README focuses on type safety and minimal boilerplate, so subscription support depends on the underlying GraphQL server integration. Check Pylon's docs or examples for specific implementation details, as it may require additional setup.

Question 3

Pylon vs TypeGraphQL: which should I use?

Accepted Answer

Pylon emphasizes automatic type inference with less configuration, ideal for reducing boilerplate, while TypeGraphQL uses decorators for explicit control. Choose Pylon for convention-over-configuration and TypeGraphQL if you need more flexibility and fine-grained schema definition.

Question 4

Is Pylon production-ready for large APIs?

Accepted Answer

Pylon's type safety and minimal boilerplate can scale well, but its convention-based approach might struggle with highly complex or legacy systems requiring extensive customizations. Evaluate based on your team's comfort with TypeScript and GraphQL conventions.

Question 5

Can I use Pylon with existing GraphQL clients like Apollo Client?

Accepted Answer

Yes, Pylon generates standard GraphQL schemas, so it works seamlessly with any GraphQL client, including Apollo Client. No modifications are needed, as highlighted in the 'GraphQL Compatibility' feature.

Question 6

How does Pylon handle data validation beyond types?

Accepted Answer

Pylon relies on TypeScript types for basic validation, but for complex business logic or input validation, you may need to implement custom resolvers or middleware, which could add boilerplate contrary to its minimal approach.

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