Build the Same App with Three Different Stacks
用三种不同技术栈构建相同应用
The capstone project: Build a Developer's Control Center application using three different technology stacks, comparing AI code generation platforms, and understanding when to use each approach.
顶点项目:使用三种不同技术栈构建开发者控制中心应用,比较AI代码生成平台,并理解何时使用每种方法。
A productivity application for developers to manage notes and action items with intelligent extraction capabilities.
一个面向开发者的生产力应用,用于管理笔记和行动项,具有智能提取功能。
AI-Generated Full-Stack Application
Created entirely by AI using Bolt.new platform. Fastest development cycle with modern aesthetics.
使用Bolt.new平台完全由AI创建。最快的开发周期,具有现代美学。
Python Backend with JavaScript Frontend
Built with Cursor AI assistance. Enterprise-grade with robust security and maintainability.
使用Cursor AI辅助构建。企业级,具有强大的安全性和可维护性。
Full JavaScript with MongoDB
Built with GitHub Copilot assistance. Unified language with flexible database.
使用GitHub Copilot辅助构建。统一语言与灵活数据库。
| Metric / 指标 | Bolt.new | Django+React | MERN |
|---|---|---|---|
| Time to First Run | 15 minutes | 3 hours | 2.5 hours |
| Time to Complete | 2 hours | 4 hours | 3.5 hours |
| Code Quality | Good | Excellent | Very Good |
| Maintainability | Fair | Excellent | Good |
| Learning Curve | Easy | Hard | Medium |
| Deployment Ease | Easy (Vercel) | Medium | Medium |
Best for: / 最适合:
Best for: / 最适合:
Best for: / 最适合:
Understanding trade-offs between speed, quality, and maintainability is crucial for technology decisions.
理解速度、质量和可维护性之间的权衡对于技术决策至关重要。
AI tools provide 10x speed improvement but require careful review and oversight.
AI工具提供10倍的速度提升,但需要仔细审查和监督。
Consistent data models and API design make cross-platform development easier.
一致的数据模型和API设计使跨平台开发更容易。