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Update link, fixes #22
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@@ -183,7 +183,7 @@ of constructing the HTTP POST request and parsing the response. For instance, th
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When we’re working in typed languages, we have to write our own object types and models, and when we get JSON from a REST API, we have to convert the data into our types. With GraphQL, we know the types for everything because they’re in the schema. Which means that our client libraries can provide us with type definitions or generate typed model code for us. For instance, [`apollo-codegen`](https://github.com/apollographql/apollo-codegen) generates type definitions for Typescript, Flow, and Scala, [Apollo iOS](https://www.apollographql.com/docs/ios/) returns query-specific Swift types, and [Apollo-Android](https://github.com/apollographql/apollo-android) generates typed Java models based on our queries and schema.
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A combination of having a schema and query documents also allow for some great code editor features, such as autocomplete, go to definition, and schema validation. (See for example the [VS Code plugin](https://github.com/apollographql/vscode-graphql) and [IntelliJ/WebStorm plugin](https://github.com/jimkyndemeyer/js-graphql-intellij-plugin).)
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A combination of having a schema and query documents also allow for some great code editor features, such as autocomplete, go to definition, and schema validation. (See for example the [VS Code plugin](https://marketplace.visualstudio.com/items?itemName=apollographql.vscode-apollo) and [IntelliJ/WebStorm plugin](https://github.com/jimkyndemeyer/js-graphql-intellij-plugin).)
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## View layer integration
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