Cursor AI Fully Auto-Generates a Xiaomi Store Clone: Deep Dive into a Full-Stack Practical Course

Course Overview

A full-stack practical course centered on AI-driven development recently launched on Bilibili. Its main selling point is using Cursor AI to auto-generate front-end and back-end code, combined with Figma AI for design, building a Xiaomi Store clone project from scratch. The tech stack covers Spring Boot, Vue3, Element Plus, and UniApp, ultimately delivering a complete e-commerce project that supports both web and WeChat Mini Program platforms.

Tech Stack & AI Toolchain

The course's core value proposition lies in its "fully AI-generated development" approach, with a clearly defined toolchain:

• Cursor AI: Auto-generates all front-end and back-end business code, handling the bulk of the coding work
• Figma AI: Generates the complete set of UI designs for the store, replacing the traditional manual design process
• Back-end framework: Spring Boot for business logic and API development
• Front-end framework: Vue3 + Element Plus (web) and UniApp (WeChat Mini Program)

Cursor AI's Technical Positioning

Cursor is an AI code editor developed by Anysphere, deeply integrating large language model capabilities on top of the VS Code architecture. It supports generating complete code segments, performing code refactoring, and fixing bugs through natural language descriptions. Unlike code completion tools such as GitHub Copilot, Cursor emphasizes "conversational programming" — developers can chat directly with the AI within the editor, describe feature requirements, and have the AI generate code for entire files or even multiple files. Since 2024, Cursor has rapidly become the benchmark product in AI-assisted programming. Its Composer feature enables cross-file batch code generation and modification, making it particularly well-suited for rapid full-stack project scaffolding.

Figma AI's Design Empowerment

Figma is the world's most popular collaborative design tool. Starting in 2024, it has progressively rolled out multiple AI features, including automatic layout suggestions, design mockup generation, and automatic icon and illustration creation. Figma AI can generate UI components and page layouts based on text descriptions, dramatically reducing repetitive design work. For developers, Figma AI's value lies in enabling anyone — even without a professional design background — to quickly produce interface designs that meet modern aesthetic standards. Combined with tools like Cursor to convert designs into front-end code, it creates a complete AI workflow from design to development.

Collaborative Development Model

The overall collaborative approach works as follows: first, use Figma AI to produce design mockups, then use Cursor AI to auto-generate code based on the designs and requirements. Developers primarily focus on debugging, optimization, and business logic oversight. This model significantly shortens the cycle from design to development.

Back-End Technology Choice: Spring Boot

Spring Boot is the most popular rapid back-end development framework in the Java ecosystem, maintained by the Pivotal team. Through its "convention over configuration" philosophy, it simplifies the tedious XML configuration of the traditional Spring framework into annotation-driven development, with an embedded Tomcat server that allows projects to run directly as JAR packages. In e-commerce projects, Spring Boot typically handles RESTful API development, database interaction (via MyBatis or JPA), authentication (Spring Security), cache management (Redis integration), and other core back-end responsibilities. Its mature ecosystem and extensive collection of Starter components make it particularly well-suited for AI code generation — because the training data contains a massive volume of Spring Boot project code, AI tools have a strong grasp of its APIs and best practices.

Front-End Technology Choice: Vue3 + Element Plus

Vue3 is the latest major version of the Vue.js framework, introducing the Composition API, improved TypeScript support, and performance optimizations. Compared to Vue2's Options API, the Composition API allows code to be organized by logical concerns, making it better suited for code reuse in large projects. Element Plus is an open-source Vue3 component library from the Ele.me team, offering dozens of enterprise-grade UI components including tables, forms, modals, and navigation — ready to use out of the box. This combination is currently the mainstream technology choice for admin dashboards and e-commerce front-ends in the Chinese internet industry, with rich community resources and relatively high accuracy in AI-generated code patterns.

Cross-Platform Solution: UniApp

UniApp is a cross-platform development framework from DCloud. Using Vue syntax, developers write a single codebase that can be compiled into mini programs for WeChat, Alipay, Baidu, and other platforms, as well as H5 web pages and native iOS/Android apps. Its core advantage is "write once, deploy everywhere," dramatically reducing the development cost of multi-platform adaptation. In e-commerce scenarios, UniApp is particularly suitable for projects that need both a WeChat Mini Program and a mobile H5 version, allowing developers to maintain a single codebase covering all major traffic channels.

Hands-On Project Content

Core Business Features

The project fully replicates the core features of the Xiaomi Store and integrates multiple enterprise-grade third-party APIs:

• Alibaba Cloud Logistics API: Order logistics tracking and information queries
• Alibaba Cloud OSS (Object Storage): Product image upload and management
• WeChat OAuth Login: Quick user login functionality
• WeChat Mini Program Payment: Complete payment flow integration

Alibaba Cloud OSS in E-Commerce

OSS (Object Storage Service) is a massive, secure, and cost-effective cloud storage service provided by Alibaba Cloud, ideal for storing unstructured data such as images, videos, and documents. In e-commerce projects, static resources like product images, user avatars, and marketing assets are typically stored on OSS and distributed to users nationwide via CDN acceleration. Compared to storing images on local application servers, the OSS approach offers unlimited scalability, high availability (99.995% SLA), automatic backups, and other advantages — making it standard practice for enterprise-grade projects. Developers can implement file upload, download, and access control through simple SDK calls.

Four Core Competencies Developed

1. Master the engineering-level collaborative development workflow between Cursor AI and Figma AI
2. Gain proficiency in practical methods and prompt engineering techniques for AI-powered coding and design
3. Independently complete the development, debugging, and deployment of a full e-commerce project
4. Develop the ability to optimize, debug, and troubleshoot AI-generated code

Target Audience & Learning Prerequisites

The course is positioned as beginner-friendly and suitable for the following types of learners:

• Programming beginners who want to quickly get started with full-stack development using AI tools
• Front-end developers looking to expand into back-end development with AI assistance to become full-stack
• Back-end developers who need to extend their skills into front-end and mini program development
• Developers with some experience who want to systematically learn AI-assisted programming

Hardware requirements are minimal — just a computer with 16GB of RAM and a normal internet connection.

Personal Take

This type of fully AI-generated practical course represents a clear trend in programming education today: using AI coding tools like Cursor to lower the barrier to coding, shifting the developer's role from "writing code line by line" to "guiding AI to write code and ensuring quality control."

Quality Risks of AI-Generated Code

That said, it's important to note that while AI-generated code is extremely efficient, there are several known quality risks. First, there's the "hallucination" problem — AI may call non-existent APIs or use outdated syntax. Second, security vulnerabilities such as SQL injection and XSS attacks may be overlooked. Third, there are performance concerns — AI tends to generate functionally correct but unoptimized code that could cause issues under high-concurrency scenarios. Fourth, architectural consistency can suffer, as code generated across multiple conversations may be inconsistent in naming conventions and design patterns. Therefore, a developer's ability to perform "code review" and "architectural oversight" hasn't weakened in the AI era — it has become even more critical.

The ability to debug and optimize AI-generated code still requires a solid foundation in programming fundamentals. Beginners following along with the project are advised to simultaneously build their understanding of underlying principles — such as database design, HTTP protocols, and component-based development concepts — so they can truly develop the ability to independently build projects and troubleshoot issues.

Key Takeaways

• The course uses Cursor AI + Figma AI to generate all code and designs throughout, building a complete Xiaomi Store clone
• The tech stack covers Spring Boot, Vue3, Element Plus, and UniApp, supporting both web and mini program platforms
• Integrates enterprise-grade third-party APIs including Alibaba Cloud logistics, OSS storage, and WeChat login/payment
• Beginner-friendly with low hardware requirements, emphasizing AI as a way to reduce the learning cost of development