A Kubernetes-based Coder template that provides a complete development environment for AWS RAG (Retrieval-Augmented Generation) application prototyping with Claude Code integration.

This template creates:

- **Kubernetes workspace** with configurable CPU/memory resources

- **Aurora PostgreSQL Serverless v2** cluster with pgvector extension for vector storage

- **Claude Code integration** with AWS Bedrock for AI-assisted development

- **Pre-configured development environment** with AWS CLI, CDK, and Python tooling

- Kubernetes deployment with Coder agent

- Configurable compute resources (2-8 CPU cores, 2-8GB RAM)

- Git repository cloning (defaults to aws-rag-prototyping repo)

- Code-server and Claude Code modules

- Streamlit app preview on port 8501

- Aurora PostgreSQL 16.6 Serverless v2 cluster

- pgvector extension for vector embeddings

- Configurable scaling (0.5-1.0 ACU)

- Security group allowing PostgreSQL access

CLAUDE_CODE_USE_BEDROCK=1

ANTHROPIC_MODEL=us.anthropic.claude-3-7-sonnet-20250219-v1:0

PGVECTOR_HOST=<aurora-endpoint>

PGVECTOR_DATABASE=mydb1

PGVECTOR_USER=dbadmin

1. Deploy template to Coder instance

2. Create workspace with desired CPU/memory configuration

3. Claude Code automatically sets up Python environment and installs dependencies

4. Access Streamlit preview at the provided URL

5. Use integrated development tools for RAG application prototyping

- Kubernetes cluster with Coder deployment

- AWS VPC with private subnets

- Appropriate IAM permissions for Aurora and Bedrock services