Skip to content
All Skills

AWS Cdk Development

AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.

DevOps & Cloud|v1|Updated 7/14/2026|GitHub source
MCP get_skill({ skillId: "aws-cdk-development-eb0a5e25" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
# 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. The `aws-mcp-setup` dependency is auto-loaded — if MCP tools are unavailable, guide the user through that skill's setup flow.

## 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.

```typescript
// ❌ 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/aws-lambda-nodejs`
```typescript
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 `@aws-cdk/aws-lambda-python`
```typescript
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:
```bash
npm install --save-dev cdk-nag
```

Add to your CDK app:
```typescript
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
   ```bash
   cdk synth  # cdk-nag runs automatically via Aspects
   ```

2. **Suppress legitimate exceptions** with documented reasons:
   ```typescript
   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
   ```bash
   npm run build  # or language-specific build command
   ```

2. **Tests**: Run unit and integration tests
   ```bash
   npm test  # or pytest, mvn test, etc.
   ```

3. **Validation Script**: Meta-level checks
   ```bash
   ./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**: Deploy to target environment
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**: Use both skill patterns and MCP servers for comprehensive guidance

## CDK Patterns Reference

For detailed CDK patterns, anti-patterns, and architectural guidance, refer to the comprehensive reference:

**File**: `references/cdk-patterns.md`

This reference includes:
- Common CDK patterns and their use cases
- Anti-patterns to avoid
- Security best practices
- Cost optimization strategies
- Performance considerations

## Additional Resources

- **Validation Script**: `scripts/validate-stack.sh` - Pre-deployment validation
- **CDK Patterns**: `references/cdk-patterns.md` - Detailed pattern library
- **AWS Documentation MCP**: Integrated for latest AWS information
- **CDK MCP Server**: Integrated for CDK-specific guidance

## GitHub Actions Integration

When GitHub Actions workflow files exist in the repository, ensure all checks defined in `.github/workflows/` pass before committing. This prevents CI/CD failures and maintains code quality standards.
#aws#cloud#terraform#infrastructurenodejsnpmawscdk

Related Skills

More skills in DevOps & Cloud

1password Skill

1password Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.

#github#broad-capabilityMIT

Actions Manager

GitHub Actions command center -- view workflow runs, read logs, re-run failed jobs, manage workflows, and debug CI failures entirely from the editor. Bypasses the deeply nested, visually-dependent Actions UI that is largely inaccessible to screen readers.

#broad-capability#accessibilityMIT

Airunway Aks Setup

Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".

#broad-capability#developmentMIT

Alz Accelerator

Deploy Azure Landing Zones using the ALZ Accelerator with AVM (Azure Verified Modules). Use this skill whenever the user mentions Azure Landing Zones, ALZ, Azure landing zone accelerator, AVM modules for landing zones, deploying management groups, hub-and-spoke networking, Virtual WAN, platform landing zones, or asks about Bicep vs Terraform for Azure infrastructure. Also trigger when the user wants to bootstrap CI/CD for Azure platform deployment, set up management groups hierarchy, or deploy connectivity/identity/management platform subscriptions.

#broad-capability#devopsMIT

Alz Accelerator Skill

Alz Accelerator Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.

#github#broad-capabilityMIT

Ansible Conventions and Best Practices

Ansible conventions and best practices

#github-copilot#devopsMIT

Explore Other Categories

Skills from other categories with shared topics

AWS Agentic AI

AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.

Agent Orchestration#aws#cloud

AWS Serverless Eda

AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.

Software Engineering#aws#cloud

Analyzing Cloud Storage Access Patterns

Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetObject spikes), and potential data exfiltration using statistical baselines and time-series anomaly detection.

Security & Compliance#mukul-cybersecurity-skills#security