VibingCoderAI · LLM Agent Architecture
How VibingCoderAI works.
A casual developer idea goes in. A senior-grade AI agent brief comes out. Four steps from a Vercel-hosted Next.js frontend to a Claude-powered Lambda brain — entirely provisioned in Terraform, no console-clicked resources in the stack.
Step 01 · Next.js 16
The interface.
A Next.js 16 App Router frontend hosted on Vercel — Server Components by default, client islands only where interactivity demands. TypeScript strict, Tailwind v4, no CSS-in-JS, no module.css. The visitor's casual idea enters here, leaves shaped like a senior-engineer-grade prompt.
Step 02 · Lambda + Claude
The agentic brain.
The frontend calls an AWS Lambda over public HTTPS. The Lambda handler runs the Anthropic Claude SDK against a master system prompt that enforces structural completeness, accessibility, error-handling and explicit out-of-scope boundaries. Output is a copy-pasteable Markdown brief any coding agent can execute without scope drift.
Step 03 · Terraform
The infrastructure.
A decoupled monorepo: apps/web on Vercel, apps/lambda packaged as an ECR container image, all of it provisioned via Terraform — ECR registry, Lambda compute, API Gateway HTTP edge, DynamoDB tables. Zero console-clicked resources in the stack. Everything is plan-apply.
Step 04 · DynamoDB
The data layer.
DynamoDB carries the persistence — prompt history, account-scoped settings, future billing state. On-demand billing keeps the cost flat at low traffic and elastic during a spike. Auth (Clerk) and payments (Stripe) sit in the roadmap behind the same table boundaries.
