[AI in Action] AI Codes and Deploys AI Services with kt cloud AI NEXUS

Through the VocabMaster toy project, this article covers the development and deployment process of a web application combining AI coding assistant Antigravity, Firebase, and kt cloud AI NEXUS. Leveraging AI coding tools and cloud platforms can significantly reduce the time from idea to full-stack service deployment.

Antigravity handled frontend development based on HTML, CSS, and JavaScript, lowering the burden of UI/UX implementation. Instead of building a separate traditional backend server, Firebase was connected to implement user authentication and data storage features.

The Firebase configuration is as follows:

• Firebase Authentication: Google login integration with just an SDK call
• Cloud Firestore: NoSQL-based vocabulary list data storage
• Firebase MCP server: Connects Antigravity to directly manipulate the Firebase project
• User ID-based data structure: Separates vocabulary lists by user and enables real-time synchronization

With this structure, login, data storage, and real-time synchronization can be implemented without separately configuring Node.js or Python REST API servers or MySQL or MongoDB. The completed AI development results are deployed as actual AI services via kt cloud AI NEXUS, securing both rapid prototyping and a scalable operational foundation for the future.