{"repo":"aws-solutions-library-samples/guidance-for-vibe-coding-with-aws-mcp-servers","free":true,"listed":false,"github":"https://github.com/aws-solutions-library-samples/guidance-for-vibe-coding-with-aws-mcp-servers","clone":"git clone https://github.com/aws-solutions-library-samples/guidance-for-vibe-coding-with-aws-mcp-servers.git","description":"Hands-on guidance for AI-accelerated AWS development using AWS MCP Servers. Learn to leverage AI coding assistants to enhance your development workflows with AWS best practices.","language":"Python","stars":43,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"Guidance for Vibe Coding AI Agents with AWS MCP Servers Table of Contents - Guidance for Vibe Coding AI Agents with AWS MCP Servers - Table of Contents - Overview - AWS MCP Servers - Architecture - Cost - Sample Cost Table - Deployment Options - Option 1: AWS Workshop Studio (Recommended for Workshop Participants) - Option 2: Self-Deployment in Your Own AWS Account - Repository Structure - System Components - Prerequisites - Workshop Studio Users - Self-Deployment Users - Operating System - Deployment Steps - Step 1: Clone the Repository - Step 2: Install Dependencies and Start Workshop Documentation - Deployment Validation - Running the Guidance - Next Steps - Cleanup - FAQ and Known Issues - Notices - Authors Overview This Guidance demonstrates how to build AI-powered development workflows using Amazon Bedrock AgentCore and the Model Context Protocol (MCP). It provides a complete, deployable hotel booking agent system that showcases \"vibe coding\" techniques - an AI-assisted development approach that accelerates software development through intelligent code generation, discovery, and problem-solving. The Guidance is designed as an interactive workshop where participants learn to: - Use AI tools to understand and navigate complex codebases quickly - Generate, enhance, and debug code efficiently with AI assistance - Leverage AI for architecture analysis, optimization, and testing - Rapidly prototype and iterate on ideas using AI-powered development tools Participants deploy a ","default_branch":null,"files":null,"tree":[],"storefront":"/r/aws-solutions-library-samples","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aws-solutions-library-samples/guidance-for-vibe-coding-with-aws-mcp-servers/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}