编程导航 2025 年 AI + 微服务全栈新项目，基于 Spring Boot 3 + LangChain4j 构建对标大厂的 AI 应用生成平台，支持多种模式的智能代码生成、可视化编辑预览、一键部署分享、应用管理、AI 智能路由等。覆盖 AI 智能体开发、LangGraph4j 工作流、Tool Calling、SSE、Vue 3 全栈开发、Spring Cloud 微服务架构、MySQL / Redis / COS / Caffeine 存储、Nginx、多种设计模式、ARMS + Prometheus + Grafana 监控、Cursor Vibe Coding 等核心技术。 ...
The AI No-Code Application Generation Platform is an innovative project designed to elevate your coding skills without the need for extensive programming knowledge. Created by Programmer Yupi, this initiative serves as a comprehensive teaching resource, providing complete video tutorials, written guides, resume writing tips, interview question solutions, and Q&A services. This accessible platform enables you to enhance your project capabilities and make your resume stand out in the competitive tech job market.
Focused on practical AI development and back-end architecture design, this platform harnesses modern technologies to enable users to create a sophisticated AI code generation platform. Leveraging tools such as Spring Boot 3, LangChain4j, and Vue 3, it prepares users to master essential skills for modern programmers, ensuring they are well-equipped for the evolving landscape of AI development.
Intelligent Code Generation: Automatically analyzes user requirements to choose optimal generation strategies, providing real-time visibility into the process with a streaming output feature.
Visual Editing: The generated applications are displayed in real-time, allowing users to enter edit mode and easily tweak webpage elements through an interactive dialogue with the AI.
One-Click Deployment and Sharing: Instantly deploy applications to the cloud with a single click, generating a shareable link and enabling full project source code download.
Enterprise-Level Management: Comprehensive backend features include user and application management, system monitoring, and performance metrics, enhancing administrative oversight of AI utilization.
Modern Tech Stack: Master essential technologies designed for AI application development, including LangChain4j, AI workflow mechanisms, and microservices architecture with Spring Cloud Alibaba and Dubbo.
Extensive Support Materials: Benefit from a well-organized learning path that covers theory-to-practice approaches including project initialization, optimization, and deployment, alongside comprehensive resume and interview preparation.
Project Expansion Opportunities: Offers numerous project extension points that allow skilled individuals to differentiate themselves from peers and continually advance their expertise.
Ongoing Educational Support: Access to an extensive library of nearly 20 project tutorials covering full-stack development, enabling continuous learning and improvement in coding skills.
