aws-cdk-development – skill DevOps & Hạ tầng cho agent AI

Bundled upstream support

Supporting files are included at skill-relative paths. See [UPSTREAM-NOTICE.md](UPSTREAM-NOTICE.md) for their pinned sources, licenses, hashes, and import changes.

Restored helper safety

scripts/validate-stack.sh runs cdk synth from the caller-selected project root, which executes that project's CDK application and dependencies, can write cdk.out, and may contact AWS context providers if the project requires lookups. Review the project and AWS context before invoking it. The helper does not deploy; deployment needs separate user authorization.

AWS CDK Development

This skill provides comprehensive guidance for developing AWS infrastructure using the Cloud Development Kit (CDK), with integrated MCP servers for accessing latest AWS knowledge and CDK utilities.

AWS Documentation Requirement

Always verify AWS facts using MCP tools (mcp__aws-mcp__* or mcp__*awsdocs*__*) before answering. Check actual tool availability; no dependency is auto-loaded by this catalog. If MCP is unavailable, use current official AWS documentation, or report the missing capability without automatically installing a server.

CDK-Specific MCP Guidance

AWS Labs replaced the dedicated CDK MCP server (awslabs.cdk-mcp-server) with the broader awslabs.aws-iac-mcp-server, which covers CDK alongside CloudFormation and other AWS infrastructure-as-code workflows.

For CDK construct lookups, best-practice recommendations, and pattern guidance, install awslabs.aws-iac-mcp-server. It ships in the deploy-on-aws plugin from awslabs/agent-plugins, or can be registered directly with claude mcp add aws-iac uvx awslabs.aws-iac-mcp-server@latest.

When to reach for it:

• CDK construct recommendations and API lookups
• CDK and CloudFormation best-practice patterns
• Validation of synthesized templates
• Cross-resource configuration guidance

When to Use This Skill

Use this skill when:

• Creating new CDK stacks or constructs
• Refactoring existing CDK infrastructure
• Implementing Lambda functions within CDK
• Following AWS CDK best practices
• Validating CDK stack configurations before deployment
• Verifying AWS service capabilities and regional availability

Core CDK Principles

Resource Naming

CRITICAL: Do NOT explicitly specify resource names when they are optional in CDK constructs.

Why: CDK-generated names enable:

• Reusable patterns: Deploy the same construct/pattern multiple times without conflicts
• Parallel deployments: Multiple stacks can deploy simultaneously in the same region
• Cleaner shared logic: Patterns and shared code can be initialized multiple times without name collision
• Stack isolation: Each stack gets uniquely identified resources automatically

Pattern: Let CDK generate unique names automatically using CloudFormation's naming mechanism.

// ❌ BAD - Explicit naming prevents reusability and parallel deployments
new lambda.Function(this, 'MyFunction', {
  functionName: 'my-lambda',  // Avoid this
  // ...
});

// ✅ GOOD - Let CDK generate unique names
new lambda.Function(this, 'MyFunction', {
  // No functionName specified - CDK generates: StackName-MyFunctionXXXXXX
  // ...
});

Security Note: For different environments (dev, staging, prod), follow AWS Security Pillar best practices by using separate AWS accounts rather than relying on resource naming within a single account. Account-level isolation provides stronger security boundaries.

Lambda Function Development

Use the appropriate Lambda construct based on runtime:

TypeScript/JavaScript: Use aws-cdk-lib/aws-lambda-nodejs (CDK v2)

import { NodejsFunction } from 'aws-cdk-lib/aws-lambda-nodejs';

new NodejsFunction(this, 'MyFunction', {
  entry: 'lambda/handler.ts',
  handler: 'handler',
  // Automatically handles bundling, dependencies, and transpilation
});

Python: Use the version-matched @aws-cdk/aws-lambda-python-alpha package

import { PythonFunction } from '@aws-cdk/aws-lambda-python-alpha';

new PythonFunction(this, 'MyFunction', {
  entry: 'lambda',
  index: 'handler.py',
  handler: 'handler',
  // Automatically handles dependencies and packaging
});

Benefits:

• Automatic bundling and dependency management
• Transpilation handled automatically
• No manual packaging required
• Consistent deployment patterns

Pre-Deployment Validation

Use a multi-layer validation strategy for comprehensive CDK quality checks:

Layer 1: Real-Time IDE Feedback (Recommended)

For TypeScript/JavaScript projects:

Install [cdk-nag](https://github.com/cdklabs/cdk-nag) for synthesis-time validation:

npm install --save-dev cdk-nag

Add to your CDK app:

import { Aspects } from 'aws-cdk-lib';
import { AwsSolutionsChecks } from 'cdk-nag';

const app = new App();
Aspects.of(app).add(new AwsSolutionsChecks());

Optional - VS Code users: Install [CDK NAG Validator extension](https://marketplace.visualstudio.com/items?itemName=alphacrack.cdk-nag-validator) for faster feedback on file save.

For Python/Java/C#/Go projects: cdk-nag is available in all CDK languages and provides the same synthesis-time validation.

Layer 2: Synthesis-Time Validation (Required)

1. Synthesis with cdk-nag: Validate stack with comprehensive rules

   cdk synth  # cdk-nag runs automatically via Aspects
   

2. Suppress legitimate exceptions with documented reasons:

   import { NagSuppressions } from 'cdk-nag';

   // Document WHY the exception is needed
   NagSuppressions.addResourceSuppressions(resource, [
     {
       id: 'AwsSolutions-L1',
       reason: 'Lambda@Edge requires specific runtime for CloudFront compatibility'
     }
   ]);
   

Layer 3: Pre-Commit Safety Net

1. Build: Ensure compilation succeeds

   npm run build  # or language-specific build command
   

2. Tests: Run unit and integration tests

   npm test  # or pytest, mvn test, etc.
   

3. Validation Script: Meta-level checks

   bash "<skill-dir>/scripts/validate-stack.sh"
   

The validation script now focuses on:

• Language detection
• Template size and resource count analysis
• Synthesis success verification
• (Note: Detailed anti-pattern checks are handled by cdk-nag)

Workflow Guidelines

Development Workflow

1. Design: Plan infrastructure resources and relationships

2. Verify AWS Services: Use AWS Documentation MCP to confirm service availability and features

• Check regional availability for all required services
• Verify service limits and quotas
• Confirm latest API specifications

3. Implement: Write CDK constructs following best practices

• Use CDK MCP server for construct recommendations
• Reference CDK best practices via MCP tools

4. Validate: Run pre-deployment checks (see above)

5. Synthesize: Generate CloudFormation templates

6. Review: Examine synthesized templates for correctness

7. Deploy: Review diff/replacements, target account/region, costs and authorization before deployment

8. Verify: Confirm resources are created correctly

Stack Organization

• Use nested stacks for complex applications
• Separate concerns into logical construct boundaries
• Export values that other stacks may need
• Use CDK context for environment-specific configuration

Testing Strategy

• Unit test individual constructs
• Integration test stack synthesis
• Snapshot test CloudFormation templates
• Validate resource properties and relationships

Using MCP Servers Effectively

When to Use AWS Documentation MCP

Always verify before implementing:

• New AWS service features or configurations
• Service availability in target regions
• API parameter specifications
• Service limits and quotas
• Security best practices for AWS services

Example scenarios:

• "Check if Lambda supports Python 3.13 runtime"
• "Verify DynamoDB is available in eu-south-2"
• "What are the current Lambda timeout limits?"
• "Get latest S3 encryption options"

When to Use CDK MCP Server

Leverage for CDK-specific guidance:

• CDK construct selection and usage
• CDK API parameter options
• CDK best practice patterns
• Construct property configurations
• CDK-specific optimizations

Example scenarios:

• "What's the recommended CDK construct for API Gateway REST API?"
• "How to configure NodejsFunction bundling options?"
• "Best practices for CDK stack organization"
• "CDK construct for DynamoDB with auto-scaling"

MCP Usage Best Practices

1. Verify First: Always check AWS Documentation MCP before implementing new features

2. Regional Validation: Check service availability in target deployment regions

3. CDK Guidance: Use CDK MCP for construct-specific recommendations

4. Stay Current: MCP servers provide latest information beyond knowledge cutoff

5. Combine Sources

… (nội dung đầy đủ có trong gói tải về)