See how an AI agent using the Ralph Wiggum loop built a full AWS serverless SaaS with Pulumi—unsupervised. Frontend, backend, tests, and CloudFront included.

The Pulumi blog provides developers with resources, tutorials, and best practices for infrastructure as code (IaC) and cloud-native development using Pulumi's open-source tools. Developers can learn about deploying and managing infrastructure using familiar programming languages such as JavaScript, TypeScript, Python, and Go. Additionally, the blog covers topics such as cloud architecture patterns, multi-cloud deployments, and serverless computing, enabling developers to build and deploy modern cloud applications with ease.

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The Ralph Wiggum technique uses a simple bash loop to continuously re-prompt AI coding assistants like Claude Code, preventing them from stopping prematurely. By feeding the same prompt repeatedly, the AI iterates on the project until completion, making it particularly effective for infrastructure-as-code projects with clear success criteria. A demonstration shows Claude autonomously building a complete serverless URL shortener SaaS on AWS using Pulumi, including DynamoDB, Lambda functions, API Gateway, S3, CloudFront, and a polished React frontend with end-to-end testing via Playwright. The approach works well for greenfield projects and proof-of-concepts but requires detailed prompts and shouldn't be used unsupervised on production infrastructure.

How Ralph Wiggum Built a Serverless SaaS with Pulumi