Taming the GraphQL Beast: Managing AWS AppSync in a Unified Repository
Example resolver ( getPost.ts ):
// DynamoDB datasource const postTable = new dynamodb.Table(...); const postDS = api.addDynamoDbDataSource('PostDS', postTable); appsync unified repo
Because everything lives in packages/api , any frontend change that expects a new field forces you to update the resolver in the same PR . The magic of the monorepo happens in package.json scripts. After every schema change, regenerate all clients automatically. Taming the GraphQL Beast: Managing AWS AppSync in
Enter the (monorepo). By managing your AWS AppSync configuration—schema, resolvers (VTL or JavaScript), datasources, and even client code—in a single repository, you can enforce consistency, improve developer experience, and streamline CI/CD. Enter the (monorepo)
my-appsync-monorepo/ ├── packages/ │ ├── api/ # AppSync backend definition (CDK or Terraform) │ │ ├── graphql/ │ │ │ ├── schema.graphql │ │ │ └── resolvers/ │ │ │ ├── getPost.js # JS resolvers (AppSync JS runtime) │ │ │ └── listPosts.vtl # or legacy VTL │ │ ├── lib/ │ │ │ └── datasources.ts # DynamoDB, Lambda, HTTP │ │ └── bin/ deploy.ts # CDK stack │ ├── web/ # React/Vue frontend │ │ ├── src/ │ │ └── codegen.yml # GraphQL Code Generator config │ ├── mobile/ # React Native / iOS │ └── shared/ # Common types & validation logic └── scripts/ └── codegen-all.sh # Trigger codegen for all clients Use the AWS Cloud Development Kit (CDK) or Amplify (with CDK under the hood) to define your AppSync API inside packages/api .
// Attach a resolver using the new JS runtime postDS.createResolver('getPostResolver', { typeName: 'Query', fieldName: 'getPost', code: appsync.Code.fromAsset('graphql/resolvers/getPost.js'), runtime: appsync.FunctionRuntime.JS_1_0_0, }); In a unified repo, you can write resolvers in TypeScript and transpile them to the AppSync JS runtime. Store resolvers as .ts files and build them to resolvers/ during deployment.