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VibingCoderAI

Prompt Engineering as a Service. Translates casual developer ideas into senior-engineer-grade AI agent briefs.

Casual ideas in, senior-engineer briefs out. The master prompt is the product.

Tech Stack

Frontend

  • Next.js 16
  • TypeScript
  • Tailwind v4

Backend

  • Node.js 20
  • AWS Lambda
  • API Gateway

Data

  • DynamoDB

AI

  • Anthropic Claude API

Infrastructure

  • Terraform

Overview

Why

AI agents fail more from vague prompts than from weak models. Developers ship Cursor-or-Claude-Code requests like "build me an auth flow" and watch the agent hallucinate scope. VibingCoderAI is a strict translator — vague ideas in, structurally complete senior-engineer-grade briefs out.

How

A master system prompt enforces structural completeness — accessibility requirements, explicit error-handling, out-of-scope boundaries. The brief is copy-pasteable Markdown that Claude Code, Cursor, GitHub Copilot, or Windsurf can execute without re-interpretation. Next.js 16 App Router frontend on Vercel calls an AWS Lambda backend over public HTTPS; the Lambda runs the Anthropic Claude API behind Terraform-provisioned API Gateway + DynamoDB.

Trade-offs

The master prompt is opinionated — it forces structure that some developers find overkill for prototypes. Accepted: the target user is a senior engineer wanting prompt rigour, not a hobbyist seeking conversational flexibility. Lambda over HTTPS rather than direct browser-to-Claude was the more boring choice — and the right one for adding auth + billing later.

Gallery

VibingCoderAI screenshot 1
VibingCoderAI screenshot 2