本课程教你使用Claude Code和子代理，实现AI驱动的Java/Spring Boot微服务开发自动化，涵盖上下文工程、Agent Skills、GitHub集成及MCP连接，提升开发效率。
原始标题：Modern Java Development with AI Agents, Subagents & Claude
本课程是一门前沿的AI驱动型软件工程（AI-Driven Engineering）实战课。课程紧跟最新的技术趋势，教你如何将 Claude Code（Anthropic 的命令行 AI 代理工具） 作为核心开发伙伴，深度整合进 Java / Spring Boot 微服务开发全流程。你将摆脱单纯的代码补全模式，升级为构建一套由 AI 代理（Agents）和子代理（Subagents）协同的自动化软件工程流水线。
Published 8/2026
Created by Vinoth Selvaraj
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 111 Lectures ( 6h 50m ) | Size: 4.1 GB
Claude Code | Spring Boot | Microservices | Agent Skills | AI Workflows | Subagents | MCP | GitHub | Context Engineering
What you’ll learn
⚡ Use Claude Code for software development
⚡ Apply AI-driven engineering workflows
⚡ Master context engineering
⚡ Configure project context with CLAUDE md
⚡ Create reusable Claude Code Skills
⚡ Analyze and plan software development tasks
⚡ Integrate Claude Code with GitHub
⚡ Automate pull requests and code reviews
⚡ Use Subagents for parallel development
⚡ Design AI-powered development workflows
⚡ Connect AI to external systems with MCP
⚡ Build and run a distributed microservice application using AI
⚡ Apply AI to planning, coding, testing, and reviews
Requirements
❗ Knowledge of Java and Spring Boot
❗ An active Claude Code subscription
Description
Build Modern Software with AI-Driven Engineering Workflows
AI is fundamentally changing how software engineers build and deliver software. The opportunity is not just to use AI for coding. It is toengineer a development workflow where AI can dramatically accelerate implementation while you remain in control of the architecture and engineering decisions.
Take your software engineering skills to the next level by learning how to buildhigh-quality distributed systems faster with AI.
In this hands-on course, you will useClaude as an AI development partner to design, analyze, plan, implement, test, review, and deliver software through a structured engineering workflow.
You will build aJava/Spring Boot distributed application consisting of three real microservices
✨ Movie Service
✨ User Service
✨ Recommendation Service
You will learn how to
✨ Build anAI-driven software engineering workflow from task specification to pull request
✨ UseContext Engineering, project rules, and CLAUDE md to give AI the right engineering context
✨ Create reusableSkills to automate development activities
✨ Integrate AI withGitHub to streamline the development lifecycle
✨ UseSubagents to parallelize development and delegate specialized engineering tasks
✨ Build workflows using Planner, Implementer, and Coder subagents
✨ Improve implementation quality through structured planning and code review
✨ Connect AI to external systems usingModel Context Protocol (MCP)
✨ Use PostgreSQL through MCP
The goal is simple:build better software, faster.
By the end of the course, you will understand how to combine your Java/Spring Boot expertise with modern AI capabilities to build sophisticated distributed systems while automating and accelerating significant parts of the engineering workflow.
This is the next step in becoming amodern software engineer who knows how to leverage AI effectively.
Who this course is for
⭐ Java developers who want to use AI Agents, Subagents, and Claude Code to accelerate modern software development.
⭐ Spring Boot developers who want to build microservices and adopt AI-driven engineering workflows.
此处内容需要权限查看
会员免费查看
