Build production AWS serverless applications using Lambda, API Gateway, DynamoDB, SQS/SNS with SAM/CDK; optimize Docker containers and Kubernetes clusters via Compose/ArgoCD; automate IaC through Terraform workspaces/GitOps; script Bash/Linux terminal tasks; configure Node/Python/Docker dev environments; execute deployment checklists for Vercel/Netlify.

Design and implement Domain-Driven Design (DDD) evented architectures for complex domains: model subdomains/bounded contexts/ubiquitous language, apply tactical patterns (entities/aggregates/domain events), build CQRS/ES systems with event stores/projections/sagas using TypeScript/Python on Postgres/Kafka/DynamoDB.

Design and optimize NoSQL data models for MongoDB, DynamoDB, Redis, and Cassandra by analyzing access patterns, embedding vs referencing, denormalization trade-offs, sharding keys, and indexes.

Provision and manage isolated test environments using Docker Compose and Testcontainers for databases, caches, queues like PostgreSQL, MySQL, Redis, DynamoDB. Generate docker-compose files, env vars, seed data scripts, startup scripts, and cleanup code to enable reliable, reproducible testing without local setup conflicts.

Accelerate Java Spring Boot development by generating CRUD apps, REST APIs, and AI integrations with LangChain4j; write unit/integration tests; integrate AWS services like RDS, DynamoDB, S3, Lambda; refactor code, audit security/dependencies, and produce documentation/architecture reviews via agents, commands, skills, and LSP support.

Interactively configure secure AWS S3 buckets with encryption, versioning, lifecycle rules, and logging, then generate CloudFormation or CDK IaC plus documentation. Set up complete Lambda functions with handler code in Node/Python/Go, IAM roles, DynamoDB triggers, and IaC via CloudFormation/SAM/CDK.

Build, deploy, manage, and optimize full-stack AWS applications and infrastructure: author IaC via CDK/CloudFormation in TypeScript/Python, deploy serverless (Lambda/API Gateway/Amplify) and containers (ECS/Fargate), integrate SDK patterns (JS/TS/Python/Swift), monitor costs/observability, secure IAM, stream data (SQS/Kinesis), and develop GenAI on Bedrock.

Build and operate AWS data lakes: create managed Iceberg tables on S3 with Glue integration, import data from S3/JDBC/Redshift/Snowflake/BigQuery/DynamoDB, execute and manage Athena SQL queries, store/query vectors, resolve assets across catalogs, audit Glue inventories, and troubleshoot connections.

Generate production-ready AWS CloudFormation templates for VPCs, EC2, ECS, RDS, DynamoDB, Lambda, S3, CloudFront, ElastiCache, Bedrock, and security groups; deploy ECS services via GitHub Actions CI/CD; bootstrap SAM projects; create Draw.io architecture diagrams; automate AWS CLI workflows; optimize costs; and review designs with expert agents.

Design AWS serverless and event-driven architectures following Well-Architected Framework best practices, using Lambda in TypeScript or Python with API Gateway, DynamoDB, Step Functions, EventBridge, SQS, and SNS to build reliable APIs, microservices, and async workflows.

Build, deploy, test, and debug AWS serverless applications using SAM and CDK. Scaffold projects with IaC templates, create Lambda functions and API Gateway REST/HTTP/WebSocket APIs, orchestrate durable workflows with Step Functions and EventBridge, integrate CI/CD pipelines, and validate data contracts on file edits.

Author, validate, and manage Terraform IaC configurations with LSP code intelligence for .tf files, guided best practices on HCL structure, reusable modules, remote state backends like S3/DynamoDB, and automated bash script analysis on session events.

Automate data classification for privacy compliance: discover PII in structured/unstructured data, build GDPR RoPA inventories, track lineage, label special categories, detect bias in AI datasets, and harmonize policies across GDPR/CCPA/HIPAA using AWS Macie, Azure Purview, and regex/spaCy.

Design, optimize, and deploy serverless architectures using AWS Lambda, Azure Functions, and Google Cloud Functions. Implement event-driven patterns, API Gateway integrations, serverless databases like DynamoDB, security measures, workflows, and cost-saving strategies.

Build and deploy Python MCP servers to expose custom tools, resources, and prompts to LLMs like Claude. Configure storage backends with memory, disk, Redis, or DynamoDB options. Integrate OAuth proxy for secure access and handle cloud deployment, lifespan management, middleware, circular imports, and async errors.

Automate Claude Code dev workflows by ingesting Git repos into LLM-optimized texts for analysis, auditing repos and MCP servers for security before install, managing Python venvs, tracking Anthropic API costs, provisioning pre-configured AWS EC2 instances, maintaining DEVLOG.md from git and chats, recapping sessions from history and todos, and creating plugin marketplaces.

Set up Terragrunt infrastructures with OpenTofu using guided patterns for catalogs, stacks, live repos, remote S3/DynamoDB state backends, and multi-account/multi-environment deployments.

Equip Claude Code with 36 AWS skills to build IaC with CDK/Terraform/CloudFormation/SAM, deploy serverless apps via Amplify/Bedrock, monitor CloudWatch/Datadog/Dynatrace, manage IAM/databases/messaging, audit security, migrate GCP-to-AWS, and run code reviews/agents for cloud workflows.

Architect scalable databases by selecting SQL/NoSQL/TimeSeries technologies, designing normalized schemas with PostgreSQL best practices, planning migrations, and optimizing complex SQL queries for OLTP/OLAP performance in cloud-native systems like PostgreSQL, MySQL, MongoDB, Redis, and DynamoDB.

Delegate to expert agents for cloud cost analysis on AWS/Azure/GCP, database query optimization across PostgreSQL/MySQL/MongoDB/DynamoDB, scalable backend API design (REST/GraphQL/gRPC), and multi-cloud infrastructure architecture with IaC for performance and savings.

Build and deploy AWS serverless applications using Lambda, SAM, API Gateway, EventBridge, Step Functions, and event-driven triggers from DynamoDB and SQS. Manage resources through a local MCP server requiring AWS credentials. Automate documentation reminders and CLI plugin syncing after code edits or writes.