2025 웹테크 밋업데이(1차:React 과정) - React를 활용한 웹 인터페이스 개발하기

Summary

This tutorial provides a hands-on guide to using AI and MCP (Model Context Protocol) tools in web development, particularly with React. The session begins with basic React concepts, including environment setup and CRUD operations, and then introduces how AI tools like Cursor AI can automate coding tasks such as generating to-do list features. It also explores backend integration through Superbase MCP for database setup and server management. The video emphasizes understanding the core concepts first, then leveraging AI to streamline and automate development, enhancing productivity and efficiency in real-world projects.

Takeaways

• 😀 Learn how to set up a basic React environment, build a To-Do list, and understand key React concepts like state and component management.
• 😀 Understand the fundamentals of CRUD (Create, Read, Update, Delete) operations and how they are implemented in a React app.
• 😀 Gain hands-on experience in both frontend development with React and backend development using Supabase for database and server management.
• 😀 Explore the concept of Model Context Protocol (MCP), which allows AI tools like GPT and Cursor to interact with external data and services via standardized protocols.
• 😀 MCP is described as a USB-like protocol that connects AI tools with other services, enabling seamless integration of multiple tools like Slack, GM, or Google Calendar.
• 😀 The script highlights how AI-powered tools (like GPT and DALL·E) can generate results by accessing external services, enhancing the ability of AI to understand and utilize external data.
• 😀 Learn how MCP facilitates the communication between AI agents and servers, making AI more versatile and capable of interacting with different applications and tools.
• 😀 Discover how Cursor AI and Supabase can streamline the process of coding by automating tasks like writing, debugging, and reviewing code, particularly in the context of React development.
• 😀 Through practical demonstrations, it’s shown how Cursor AI can wrap the VS Code environment, making it user-friendly and interactive for developers to leverage AI in their workflow.
• 😀 The script emphasizes the importance of hands-on practice before relying entirely on AI for coding, suggesting developers first experience manual development and then use AI for code generation and refactoring.
• 😀 Using MCP with Supabase allows developers to automate database creation, API management, and server setup by simply inputting commands, speeding up the development process and reducing repetitive tasks.

Q & A

What was the main goal of this lecture?

The main goal was to demonstrate how a full-stack web application, specifically a React-based Todo List, can be built end-to-end and then refactored and automated using AI tools, focusing on Cursor AI and the Model Context Protocol (MCP).

Why did the instructor emphasize learning React fundamentals before using AI?

Because understanding the underlying code, logic, and data flow is essential to effectively evaluate, debug, and improve AI-generated code. Without fundamentals, developers cannot fully trust or control the results produced by AI.

What is MCP (Model Context Protocol) in simple terms?

MCP is a standardized protocol that allows large language models to connect to external tools, services, and data sources, enabling AI to perform actions like creating databases, managing servers, or calling APIs through natural language commands.

How is MCP compared to a USB interface in the lecture?

MCP is compared to a USB interface because it acts as a universal connector that allows AI hosts (like GPT, Claude, or Cursor) to plug into various external services (like Supabase, Slack, or calendars) in a standardized way.

What role does Cursor AI play in the development workflow?

Cursor AI acts as an AI-powered code editor and MCP host that wraps VS Code, enabling developers to write, refactor, debug, and review code through conversational prompts directly inside the editor.

How was the Todo List application initially created?

The Todo List was first built manually using React and Vite to understand core concepts such as components, state management, and CRUD operations before being recreated and refactored using AI.

What CRUD features were implemented in the Todo List?

The application supports creating new todos, reading and displaying the todo list, updating todo status (toggle complete), and deleting existing todos.

How did AI simplify the implementation of CRUD functionality?

By providing a simple prompt describing the desired features, the AI agent automatically generated React components, state logic, styles, and event handlers required to implement full CRUD functionality.

What is Supabase MCP used for in this project?

Supabase MCP is used to automatically create a Supabase project, generate database tables, configure API keys, and connect the existing React application to the backend without manual dashboard setup or API configuration.

What manual steps were eliminated by using Supabase MCP?

Manual steps such as creating a Supabase project, defining tables and columns, copying API keys, setting environment variables, and writing initial database connection code were all automated through MCP prompts.

How does the AI infer database schema from the frontend code?

The AI analyzes existing React CRUD logic and data usage patterns, then infers appropriate table names, columns, data types, and relationships to generate a compatible database schema.

How can developers control or undo AI-generated changes in Cursor?

Cursor allows developers to accept or reject AI-generated code changes and also provides checkpoint functionality to revert the codebase back to a previous state if the results are not satisfactory.

What risks or limitations of AI coding were mentioned?

The instructor noted that AI can sometimes generate incorrect or suboptimal code, so developers must review outputs carefully and provide additional prompts or corrections when needed.

Beyond CRUD, what other features could MCP enable?

MCP can be used to integrate authentication, real-time databases, user management, and other Supabase features, as well as connect to many external tools through natural language commands.

What is meant by 'vibe coding' in this lecture?

Vibe coding refers to a development style where developers focus on intent and high-level direction while AI handles repetitive or boilerplate tasks, creating a faster and more intuitive coding experience.