Project Background and Results

How We Use Manus is a multilingual content platform dedicated to sharing Manus AI practical experiences. The project stems from a simple yet powerful idea: helping more people explore the unlimited possibilities of Manus AI by sharing real application cases and solutions. During the design and development process, we particularly focused on several core objectives:

Content Value: Focus on sharing real cases, professional tutorials, and practical tips
Multilingual Support: Support for five languages - Chinese, English, German, Japanese, and Spanish
Performance Optimization: Utilizing Next.js App Router architecture to ensure ultimate loading speed
User Experience: Creating a modern interface based on Tailwind CSS and shadcn/ui

Core Technology Stack

Frontend Framework

Next.js 14 (App Router) - Modern React framework
TypeScript - Providing type safety
Tailwind CSS - Utility-first CSS framework

UI Components

shadcn/ui - High-quality component library
Lucide React - Beautiful icon library

Internationalization Solution

next-intl - Powerful internationalization solution
File system-based multilingual routing ([locale])
JSON format translation resource management

Content Management

Markdown + frontmatter content creation
File system-based content organization
Multilingual content management

Core Features

Real case showcases
Replay link sharing
Problem solutions
Results and insights

2. Tutorial Center

Professional tutorials
Step-by-step guides
From basic to advanced
Practical cases

3. Tips Extension

Practical tips
Best practices
Efficiency improvement
Experience sharing

4. Interactive Experience

Responsive layout
Theme switching
Language switching
Smooth transitions

Technical Highlights

1. Modern Architecture

Next.js App Router architecture
React Server Components
Hybrid rendering strategy
TypeScript type safety

2. Performance Optimization

Custom performance monitoring
Automatic image optimization
Font loading optimization
Component-level code splitting

3. Internationalization Practice

Route-based language switching
JSON translation resources
Multilingual SEO optimization
Localized content management

4. Development Experience

Modular organization
ESLint standards
Component-based development
Automated deployment

Project Value

1. Content Value

Real case sharing
Professional knowledge transfer
Practical experience accumulation
Community value creation

2. Technical Value

Modern technology practices
Performance optimization solutions
Multilingual solutions
Reusable component library

3. User Value

Quality learning resources
Practical solutions
Convenient information access
Smooth user experience

This project not only demonstrates how to build a high-performance multilingual content platform using modern web technology stack but more importantly provides real value through sharing actual Manus AI use cases and experiences. Every feature and design decision revolves around the core goal of helping users better understand and use Manus AI, ultimately creating a content sharing platform that is both technically advanced and practically valuable.