Day 1 AWS Foundation Setup for Startups
This prompt enables startups to achieve professional-grade AWS setup independently through a self-service approach powered by generative AI.
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Your AWS architecture, one prompt away

Transform your startup idea into production-ready AWS architecture using expert-designed startup prompts for AWS. Our comprehensive library covers various use cases, from single web apps to complex microservices. Save weeks of planning time, instantly access AWS best practices, and focus on scaling your products.
By using these prompts, you agree to this disclaimer.
This prompt enables startups to achieve professional-grade AWS setup independently through a self-service approach powered by generative AI.
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Systematic roadmap for scaling infrastructure as you grow. Get phased architecture recommendations, cost projections, and implementation guidance—validated against AWS best practices.
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One-command project setup with AI-powered specs, automated testing, and AWS integrations. Generates structured requirements, design docs, and deployment-ready code—eliminating hours of manual setup.
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Convert your REST API to MCP using AgentCore Gateway. Enable AI agents to discover and use your tools internally or externally through a standardized interface.
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Automated operational review of your OpenSearch cluster across 6 pillars. Analyzes performance, security, costs, and configurations—generating actionable recommendations with prioritized fixes.
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Create a serverless, React-based chatbot using Claude on Bedrock with RAG capabilities for PDF documents.
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Comprehensive AWS infrastructure assessment across 6 Well-Architected pillars. Generates actionable reports on cost optimization, security hardening, reliability, and compliance readiness.
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The MVP Builder assists founders in building an effective MVP by generating a well-architected AWS design, Frontend, Backend, and IaC for the PoC, and then deploys it directly to AWS within hours.
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Deploy production-ready EKS with Karpenter auto-scaling, KEDA pod management, and Spot instance prioritization. Includes Bottlerocket OS, encryption, and multi-AZ high availability—optimized for cost.
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Creates an AI DevOps consultant that guides startup founders from their current state to a production-ready AWS environment using opinionated best practices and Infrastructure-as-Code.
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An AI-powered Full AWS Deployment Agent that guides startups from local development to production-ready cloud infrastructure.
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Have a GitHub repo? This prompt will help you deploy it to AWS.
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Get help deploying your local dev environment to AWS with this prompt.
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Get help creating an AWS EKS-based containerized application deployment for a Node.js app with PostgreSQL database that can auto-scale and handle traffic spikes cost-effectively.
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What is a prompt?
How do I get started?
Do I need to review the AI-generated outputs before using them?
Do I have to use Q Developer CLI or will other tools work?
How much will this cost me on AWS?
What if I accidentally deploy something that costs thousands of dollars?
I have no technical background. Will I understand what gets deployed?
How do I know if my prompt is good enough?
Should I deploy everything at once or start small?
What happens if something breaks in production?
Can I use these prompts if I already have some code or infrastructure?
How do I avoid vendor lock-in with AWS?