Google Drone Vibe Coding turns into Autonomous Self Testing and Correcting Code

Building a 3D Google Drone Sim with Gemini-3-Pro: AI Self-Correction & Computer Use 🚁🌍 What happens when you give an AI the keys to your browser and a 3D map of the world? 🌎✨ In this "Vibe Coding" session, I used the Gemini-CLI powered by Gemini-3-Pro to build a fully functional 3D Google Earth Drone Simulator from absolute scratch. This wasn't just a coding session—it was a glimpse into the future of autonomous software engineering. The Workflow: 🎨 Asset Generation: We didn't leave the CLI to find a drone. I used the Vision Extension with the Nano Banana model to generate a custom futuristic drone asset with a simple text prompt. 🛠️ The Build: Implementing the bleeding-edge Google Maps Platform 3D API, we built a physics-based flight engine with WASD controls, a holographic HUD, and orbital mechanics. 🧪 Self-Testing & Correcting: This is the game-changer. I used the Computer Use Extension to let the AI test its own code. The AI launched a Chromium browser, took control of the keyboard/mouse, identified bugs (like "The Black Screen of Death" and "Autopilot Jitter") via screenshots, and wrote the patches to fix them in real-time. 🔒 Security First: The AI autonomously identified an exposed API key, sanitized the code, and refactored the backend to use server-side injection for maximum security. Core Features: * 🛸 WASD Flight Physics: Smooth momentum and 360-degree rotation. * 🛰️ Space Jump: Zoom from 20m to 5,000km (Orbit) instantly. * 🤖 AI Guidance: Integration with the Routes API for smooth autonomous travel. * 🍕 Places Scanner: Text-searchable POIs that spawn interactive 3D markers. Check out the repo: https://github.com/automateyournetwork/google_drone #Gemini3Pro #VibeCoding #GoogleMapsPlatform #ComputerUse #AI #GenerativeAI #WebDev #DroneSimulator #SoftwareEngineering