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.

12m read timeFrom pulumi.com
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The problem with AI coding assistantsWhat if we just do not let it stop?How the Ralph loop worksWhy Pulumi is perfect for RalphThe experimentThe resultsBest practices for Ralph with PulumiThe honest assessmentTry it yourselfOr try Pulumi Neo: Ralph built-inResources
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