This post is my submission for DEV Education Track: Build Apps with Google AI Studio.
What I Built
For this project, I built DevBrand AI, an AI-powered web application that helps developers create a complete personal branding kit in just a few clicks.
Instead of manually writing bios, portfolio headlines, README introductions, or designing graphics, users simply provide their GitHub username, role, tech stack, experience, and preferred design theme. The application then generates everything automatically.
Prompt Used
I used Google AI Studio's Build apps with Gemini feature with a prompt similar to this:
Build a modern React + TypeScript application called DevBrand AI that generates a complete developer branding kit. Use Gemini to generate professional bios, portfolio headlines, GitHub README introductions, project ideas, mission statements, social media introductions, CTAs, and branding recommendations. Use Imagen to generate a modern 3D developer mascot, hero illustration, and portfolio banner. Create a responsive UI using Tailwind CSS with reusable React components, loading animations, copy buttons, and download functionality.
Features
🤖 AI-generated developer bio
🎯 Personal tagline
💻 Portfolio headline
📄 GitHub README introduction
💡 Project ideas
🌈 Suggested branding colors
📢 Social media introduction
🚀 Portfolio call-to-action
🎨 AI-generated developer mascot
🖼️ Hero illustration
🌐 Portfolio banner
📋 Copy buttons
📥 Download generated content
📱 Responsive modern interface
Demo
Screenshots
Live Demo
App: https://devbrand-ai-706459620449.asia-southeast1.run.app
My Experience
This project was my first time using the new Build apps with Gemini experience in Google AI Studio, and it was surprisingly fast to go from an idea to a working application.
What impressed me most was how the AI generated a well-structured React + TypeScript project instead of just producing a single file. The generated components, services, and overall architecture made the project easy to understand and extend.
I also enjoyed combining Gemini for structured text generation with Imagen for visual assets. Seeing both models work together in one application made it feel like building a complete product rather than just experimenting with AI.
Overall, this experience showed me how AI can significantly accelerate prototyping while still leaving room for customization and refinement. I'll definitely continue using Google AI Studio to quickly validate ideas and build future projects.
Thanks for reading! Feedback is always welcome.