How to Build Llama-Powered AI Apps FAST (Bolt, Cursor, Groq, Llama 3.2 API) скачать в хорошем качестве

How to Build Llama-Powered AI Apps FAST (Bolt, Cursor, Groq, Llama 3.2 API)

Learn to build a complete AI chat application without writing code yourself. We'll use modern AI development tools to handle the heavy lifting: First, we use Bolt to automatically generate our frontend: Get a complete Next.js application with a modern UI Built-in Shadcn components for the chat interface Prompt Used: Landing page for app using Next.js and Shadcn for an off grid supply company (solar panels, batteries etc.) simple page with dark mode. Then, we'll use Cursor AI code editor to create our backend: Tell Cursor to generate the API routes Add Groq integration for connecting to Llama- Get free API key here: https://console.groq.com/keys Set up message handling and streaming Prompt Used: add an AI backend to this application, when user clicks contact it should open up a chat interface where the user can chat with an AI chatbot powered by Groq using latest Llama model. This Groq connection should be implemented server side on this Next.js application The best part? Everything's done through prompts and AI assistance - no manual coding required. Perfect for developers who want to understand modern AI app architecture while letting AI handle the implementation details. 0:00 Intro 0:32 Create UI framework in Bolt 2:15 Add backend using Cursor AI 5:43 Try it out 6:17 Outro