Full Stack AI

Full Stack AI is an app creation tool that generates a full-stack Next.js app from a prompt via CLI. Full Stack AI is a CLI tool that generates a full-stack Next.js application from a text prompt, including TypeScript, Tailwind, Prisma, Postgres, tRPC, authentication, Stripe, and Resend.

Full Stack AI is a command-line tool that turns a natural language prompt into a complete Next.js codebase. It scaffolds a production-ready stack with TypeScript, Tailwind CSS, Prisma, Postgres, tRPC, authentication, Stripe payments, and Resend email, so you can go from idea to running application without assembling infrastructure piece by piece. The tool is invoked through the npm package fsai, using the command npx fsai gen followed by a description of the app you want. It reads your OpenAI API key from the environment (OPENAI_API_KEY) and sends the prompt to a model that generates the project files. The typical user is a developer who knows their way around JavaScript or TypeScript and wants to skip repetitive setup work. Instead of wiring a database, auth, and payment flow manually, you describe the product (the homepage example is a Twitter clone called StackPrompt) and let the generator produce the initial skeleton. Because the output is a standard Next.js project with widely used libraries, you can open it in your editor, add business logic, and deploy to any platform that supports Node.js. The CLI approach means it fits into existing workflows and scripts, though it does not replace the need to review and test generated code. Among AI coding assistants, Full Stack AI is narrower and more opinionated: it targets one stack (Next.js plus Prisma, tRPC, Stripe, Resend) rather than offering a general chat interface or multi-framework support. That focus can speed up prototyping for teams already invested in that ecosystem, but it also limits flexibility if you prefer a different database or payment provider. There is no web dashboard mentioned on the homepage; the product is distributed as an npm package and documented through its GitHub repository and a demo video, with launch and source links provided.