Course Detail

掌握Claude Code：AI驱动的开发实战指南

本课程基于《Mastering Claude Code: AI驱动的开发实战指南》生成，围绕Chapter 1 – Getting Started with Claude Code、Example: Basic Claude Code API call using Python、Chapter 2 – Anatomy of an AI Coding Assistant、Example prompt to Claude 3.5 Sonnet via API、Define request body schema、Input model、Claude Code Refactoring Example、Configure logging等内容展开，按章节组织知识点、讲解与练习，帮助学习者循序渐进地理解核心概念、掌握典型方法，并通过配套题目巩固学习效果。

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Chapters

课程章节

按章节循序渐进阅读正文，并进入对应小节练习。

00第一章 – Claude Code 入门
- Chapter 1 – Getting Started with Claude Code
- 1.2 How Claude Differs from Other AI Coding Tools
- 1.3 Installing and Accessing Claude Code
01示例：使用 Python 进行基本的 Claude Code API 调用
- 1.4 Setting Up in VS Code, Cursor, and Zed
- 1.5 Your First Prompt: “Hello, Claude!”
02第2章 – AI编程助手的内部结构
- 2.1 How Claude Understands Code
- 2.2 Prompt Engineering Basics for Developers
- 2.3 Context, Tokens, and Model Behavior (1)
- 2.4 The Request–Response Lifecycle in Claude Code (1)
- 2.5 Managing Memory and Conversation State
- Key Insight
03通过 API 调用 Claude 3.5 Sonnet 的示例提示
- 3.1 Writing Effective Prompts for Code Generation
04定义请求体架构
- 3.2 Step-by-Step and Chain-of-Thought Techniques
05输入模型
- 3.3 Handling Long Contexts and Multi-File Prompts
06Claude Code 重构示例
- Concept Development
07配置日志记录
- 3.5 Troubleshooting Common Prompting Errors (1)
- 3.5 Troubleshooting Common Prompting Errors (2)
- 4.1 Using Claude to Identify and Fix Bugs
- 4.2 Building Automated Code Review Workflows
08动手实践示例
- 4.3 Interpreting and Trusting Claude’s Feedback
- 4.4 Testing Debug Fixes in Real Time
09更新的测试
- 4.5 Lessons from Human-in-the-Loop Debugging
- 4.6: Smarter Debugging Through Collaboration
10实时验证测试
- 5.1 Principles of Clean Refactoring
11验证测试
- Validation Test
12用法
- Usage
- 5.3 Performance Optimization Through AI Feedback
13性能测试（模拟）
- Performance test (simulated)
- 5.4 Code Simplification vs. Efficiency Gains (1)
- 5.5 Example Project: Optimizing a Web Scraper
14带抖动的指数退避
- Exponential backoff with jitter
15在此处添加更多 URL，以展现并发处理的效果。
- 5.6 Best Practices and Cost Considerations
16展示了如何重复使用简洁的会话摘要，而不是反复粘贴大量上下文。
- Shows how to reuse a compact session summary instead of pasting large context repeatedly.
- 6.1 Claude Code in VS Code, Zed, and the Terminal
- 6.2 Configuring API Keys and Rate Limits
17运行 python claude_config.py
- 6.3 Working with Git and Version Control
18加载仓库和 Anthropic 客户端
- 6.4 Managing Cost and Token Usage
19python token_tracker.py
- 6.5 Building a Productive Claude-Driven Workflow
20运行 claude_workflow.py 脚本
- python claude_workflow.py
- Summary Table: Environment Setup Checklist
- 7.1 Overview and Objectives
- 7.2 Setting Up the API Project (Express or FastAPI)
21内存存储
- In-memory storage
- 7.3 Generating Boilerplate and Business Logic with Claude
- 7.4 Testing Endpoints and Handling Errors (1)
- 7.5 Deploying with Claude-Guided CI/CD
22澄清表
- Clarification Table
23第二阶段：运行时
- Stage 2: runtime
24服务
- Service
25安全最佳实践
- Security best practices
26使用环境特定变量运行容器
- 8.3 Claude-Assisted CI/CD Pipeline Configuration
27rollback.sh — 将 TaskFlow 容器回滚到上一个稳定版本
- rollback.sh — revert TaskFlow container to last stable version
28deploy_azure.sh — 将 TaskFlow 部署到 Azure 容器应用
- deploy_azure.sh — deploy TaskFlow to Azure Container Apps
29deploy_gcp.sh — 将 TaskFlow API 部署到 GCP Cloud Run
- 8.5 Example: Automating a Full Deployment Workflow
30smoke.sh — 轻量级部署后检查
- smoke.sh — tiny post-deploy checks
31在第二个终端中：
- 9.1 Multi-Agent and Subagent Workflows
32模拟结果聚合
- 9.2 Creating Internal Developer Tools with Claude
33模拟 Claude API 接口
- 9.3 Using Claude for Pair Programming and Code Reviews
- 9.4 Example: Sprint Planning Assistant
34这是如何运作的：
- Deploying the Assistant Internally
35安全地加载环境变量
- 9.6 Lessons Learned: Collaboration and Context Sharing
36示例用法
- 10.1 Understanding File Context Management
37上下文摘要（用于 Claude 提示）
- 10.2 Summarizing and Navigating Large Codebases
- 10.3 Incremental Refactoring and Documentation
38重构后
- After refactoring
39Claude 上下文文件
- Claude Context File
40app_legacy.py (1)
- app_legacy.py (1)
41在另一个终端中：
- In another terminal:
42示例：评估 Claude 生成的代码
- Example: Evaluate Claude-generated code
43使用示例
- Example usage
- 11.3 Reviewing and Validating Claude-Generated Code (1)
- 11.3 Reviewing and Validating Claude-Generated Code (2)
44.git/hooks/pre-commit 预提交钩子
- .git/hooks/pre-commit
45使用示例
- Example usage
46基于环境变量的权限控制
- 11.6 Best Practices: Responsible AI Coding
47每个标记约4个字符
- Approximate 4 characters per token
48说明表：每项任务的实际成本基准
- Clarification Table: Realistic Cost Benchmarks per Task
- Hands-On Example: Token Estimation Comparison
49用法示例
- 12.4 Reducing API Overhead and Latency
50单个请求处理所有
- Single request handles all
- 12.5 Monitoring Usage with Metrics and Logs
51用法示例
- Example usage
52确定与基础引用（base ref）相比的更改文件（默认：origin/main）
- Determine changed files against the base ref (default: origin/main)
53若未匹配到任何内容，则回退到完整套件
- 13.1 Common Issues and Root Causes
54示例错误调用
- Example buggy call
- 13.2 Handling Timeouts, Token Limits, and Truncation
55用法示例
- Example usage
56第一步：模糊提示
- Step 1: Ambiguous prompt
57保存可复用的重构提示
- Store a reusable refactoring prompt
58请提供需要翻译的教材内容，我会将其翻译成中文。
- 13.5 Troubleshooting Table: Problem → Solution (1)
- 13.6 Lessons from Iterative Prompt Tuning
59步骤3：添加结构和评估指令
- Step 3: Add structure and evaluation directive
- 14.1 Overview: Why a Cookbook Matters
- 14.2 Frontend Development Prompts
- 14.3 Backend and API Prompts (1)
- 14.3 Backend and API Prompts (2)
60错误：循环重新赋值了 total，而不是进行累加。
- Bug: The loop reassigns total instead of accumulating.
61FastAPI 示例 – API 参考
- Overview
- 15.1 Claude for Enterprise Development
62配置企业级日志记录
- 15.2 Integrating with CI/CD and GitOps Workflows (1)
- 15.3 Using Claude for Quality Assurance and Documentation
6315.4 治理、合规与风险控制 (1)
- 15.4 Governance, Compliance, and Risk Controls (1)
6415.5 案例研究：使用 Claude 实现持续交付
- 15.5 Case Study: Continuous Delivery with Claude
65企业采用实施手册
- 15.6 Enterprise Adoption Playbook
6616.1 Claude与AI编程助手的演变
- 16.1 The Evolution of Claude and AI Coding Assistants
6716.2 从人类协作到智能协同开发
- 16.2 From Human Collaboration to Intelligent Co-Development