awslabs/fullstack-solution-template-for-agentcore

What it solves

It eliminates the "undifferentiated heavy lifting" of infrastructure and frontend setup when building AI agent applications. By providing a secured, full-stack starter template, it allows developers to move from initial setup to a working application in days rather than weeks, enabling them to focus on prompt engineering and GenAI implementation rather than boilerplate code.

How it works

FAST provides a pre-configured architecture that connects a React-based frontend to an AgentCore backend. It uses AWS Cognito for user authentication and JWT validation, and supports infrastructure deployment via either AWS CDK or Terraform. The system is designed to be "vibe-codable," meaning it includes extensive documentation and rules specifically intended to be fed into AI coding assistants to help them customize the application quickly while following security and architectural best practices.

Who it’s for

Delivery scientists and engineers who need to deploy production-quality, web-accessible AI agents using AgentCore without needing deep expertise in frontend development or cloud infrastructure.

Highlights

• Full-Stack Baseline: Ships with a working multi-turn chat agent featuring text analysis and Python code execution tools.
• Flexible Infrastructure: Supports both AWS CDK and Terraform for deployment.
• AI-Ready Documentation: Includes a vibe-context directory with rules and conventions specifically for AI coding assistants.
• Secure by Design: Implements a robust authentication flow using Cognito, OAuth2 Client Credentials, and Cedar policies for fine-grained access control.
• Framework Agnostic: Compatible with various agent SDKs such as Strands and LangGraph.