Master AI-Assisted Development
掌握AI辅助开发的完整技能体系
An 8-week journey through LLM prompting, AI application development, MCP protocol, Claude Code automations, agentic development, security, AI code review, and multi-stack development.
一段8周的学习旅程，涵盖LLM提示工程、AI应用开发、MCP协议、Claude Code自动化、Agent开发、安全、AI代码审查和多技术栈开发。
Click on any week to view detailed tutorial content / 点击任意周查看详细教程内容
大语言模型提示技术
Master K-shot prompting, Chain-of-Thought reasoning, and tool calling to effectively communicate with LLMs.
掌握K-shot提示、思维链推理和工具调用，有效与大语言模型沟通。
行动项提取器项目
Build an AI-powered application that extracts action items and hashtags from notes.
构建一个AI驱动的应用，从笔记中提取行动项和标签。
GitHub MCP服务器
Create a Model Context Protocol server to integrate GitHub with AI assistants.
创建模型上下文协议服务器，将GitHub与AI助手集成。
Claude Code自动化
Leverage Claude Code's slash commands, hooks, and subagents for automated workflows.
利用Claude Code的斜杠命令、钩子和子代理实现自动化工作流。
Agent驱动开发
Implement multi-agent workflows with specialized AI agents collaborating on development tasks.
实现多Agent工作流，专门的AI Agent协作完成开发任务。
安全与漏洞修复
Scan code for security vulnerabilities using Semgrep and implement fixes.
使用Semgrep扫描代码安全漏洞并实施修复。
AI代码审查
Compare manual code review with AI-assisted review using Graphite platform.
使用Graphite平台比较人工代码审查与AI辅助审查。
多技术栈开发
Build the same application using three different technology stacks with AI acceleration.
使用三种不同技术栈构建相同应用，实现AI加速开发。
Core competencies developed through the course / 课程中培养的核心能力
Design effective prompts for LLMs / 设计有效的LLM提示词
Build AI-powered applications / 构建AI驱动的应用
MCP and tool integration / MCP和工具集成
AI-assisted development workflows / AI辅助开发工作流
Vulnerability scanning and fixing / 漏洞扫描和修复
Agent coordination and workflows / Agent协调和工作流
Manual and AI-assisted review / 人工和AI辅助审查
Cross-platform development / 跨平台开发