Appsync Repo May 2026

dataSource.createResolver('getItemResolver', { typeName: 'Query', fieldName: 'getItem', code: appsync.Code.fromAsset('backend/resolvers/Query/getItem.js'), runtime: appsync.FunctionRuntime.JS_1_0_0, });

Start today: create a new GitHub repository, initialize a CDK app, add your schema.graphql , write one resolver, and deploy it. Once you have that working, expand with data sources, pipelines, and real-time subscriptions. Your future self — and your team — will thank you. appsync repo

import * as appsync from 'aws-cdk-lib/aws-appsync'; import * as dynamodb from 'aws-cdk-lib/aws-dynamodb'; const api = new appsync.GraphqlApi(this, 'Api', { name: 'MyAPI', schema: appsync.Schema.fromAsset('backend/schema/schema.graphql'), authorizationConfig: { defaultAuthorization: { authorizationType: appsync.AuthorizationType.API_KEY } }, }); dataSource

An AppSync repo is not just about storing code; it is about treating your GraphQL API as a first-class, version-controlled, testable, and automatable component of your cloud architecture. Have you built an AppSync repo using a different pattern? Share your experience in the comments below, or check out the official AWS AppSync GitHub organization for more examples. import * as appsync from 'aws-cdk-lib/aws-appsync'; import *

// getItem.test.js import { request } from './getItem'; test('request includes user ID from identity', () => { const ctx = { args: { id: '123' }, identity: { claims: { sub: 'user1' } } }; expect(request(ctx).key.userId).toBe('user1'); }); Deploy your API to a test environment and run real queries using aws-appsync or Apollo Client. End-to-End Tests Test the full flow: mutation → subscription → query. CI/CD Pipeline for Your AppSync Repo Your pipeline should automate every step from commit to production. Here is a GitHub Actions workflow for an AppSync repo: