Appsync Repo Site

type Item { id: ID! name: String! createdAt: AWSDateTime! } type Query { getItem(id: ID!): Item }

type Mutation { createItem(name: String!): Item } AWS AppSync now supports JavaScript resolvers (runtime APPSYNC_JS ), which are easier to write and debug than VTL. Store each resolver in its own file, named after the field it resolves. 3. Data Sources Definition Define connections to DynamoDB, Lambda, RDS, or HTTP endpoints. This file maps logical names to physical resources. 4. Infrastructure as Code (IaC) This is the most critical part of your AppSync repo . Without IaC, your repo is just documentation. With IaC, your repo becomes executable infrastructure. Choosing Your Infrastructure as Code Tool for AppSync Your AppSync repo must include IaC. Here are the three most popular choices: Option A: AWS CDK (Recommended) The AWS Cloud Development Kit allows you to define your AppSync API using TypeScript, Python, or Java. appsync repo

// 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: type Item { id: ID

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 } }, }); } type Query { getItem(id: ID