Build a Visual Network Mapper in 30 Minutes (Google Antigravity) скачать в хорошем качестве

Build a Visual Network Mapper in 30 Minutes (Google Antigravity)

In this video, I demonstrate how to build a full-stack visual network mapper using the Antigravity AI IDE in less than 30 minutes—a task that would typically take days. I use prompts to generate a Python FastAPI backend using SQLite and a Next.js frontend using React Flow. The process includes generating a seeding script for realistic network devices, creating API endpoints, and refactoring the UI to look like a professional NOC dashboard with glassmorphism and pulsating animations. You can find the code for this project on GitHub: https://github.com/benpiper/visual-ne... Timecodes 00:00 - Intro: Building a Network Mapper in 40 Minutes 00:00:28 - Defining the Tech Stack: Python FastAPI & Next.js 00:00:46 - Backend Prompt: Database and Pydantic Models 00:01:35 - Generating a Data Seeding Script 00:02:25 - AI Model Selection: Using Gemini 3 Pro 00:05:06 - Reviewing the Generated Code 00:09:07 - Running the API Server (Uvicorn) 00:10:48 - Testing the API with Swagger Docs 00:14:10 - Frontend Prompt: Integrating React Flow 00:15:57 - Defining Visual Logic for Bandwidth Connections 00:17:51 - Initializing the Next.js App 00:21:46 - First Look at the Network Graph 00:23:55 - Refactoring the UI: "NOC Dashboard" Style 00:25:56 - Fixing Data Model and Font Issues 00:26:56 - Adding Pulsating CSS Animations 00:28:49 - Final Demo of the Application