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課程簡介

Introduction to Claude Code

  • What Claude Code is and how it differs from copilots
  • Key features: codebase understanding, multi-file editing, terminal integration
  • Overview of the agent loop and planning capabilities

Installation and Configuration

  • Installing Claude Code via npm and official packages
  • Setting up API keys and authentication for Anthropic models
  • Terminal configuration and IDE plugin options
  • Managing context windows and token limits

Navigating Codebases with Natural Language

  • Using search and query commands across files
  • Understanding file relationships and dependencies
  • Refactoring and restructuring code with prompts

Multi-File Editing Workflows

  • Building features that span multiple files
  • Cross-file dependency management
  • Testing and validation after automated edits

Approval Modes and Security

  • Automatic, semi-automatic, and manual approval levels
  • Setting boundaries for agent autonomy
  • Reviewing changes before application in production contexts

Git Integration

  • Initiating branches and commits with Claude Code
  • Diff review and merge conflict assistance
  • Commit message generation and changelog creation

Debugging and Bug Fixing

  • Identifying root causes across the codebase
  • Applying targeted patches and running tests
  • Using the agent for regression testing

Team and Enterprise Features

  • Shared context and team-specific configurations
  • Custom rules and style enforcement
  • Enterprise deployment patterns and SSO considerations

CI/CD and Automation Workflows

  • Triggering agent tasks from pipeline events
  • Pre-commit checks and automated code review
  • Running Claude Code in headless and CI environments

Performance Optimization

  • Managing large codebases within context limits
  • Splitting workloads and caching session data
  • Choosing the right model tier for the task

Troubleshooting

  • Resolving common connection and auth issues
  • Debugging agent misinterpretations and bad edits
  • Handling rate limits and token exhaustion

Security and Compliance

  • Data handling and privacy considerations
  • Managing sensitive credentials and secrets in agent context
  • Enterprise audit trails and governance

Summary and Next Steps

  • Recap of key features and workflows
  • Resources for continued learning and community support
  • Transition to advanced Claude Code topics

最低要求

  • Experience with software development in at least one programming language
  • Basic command-line and terminal usage
  • Familiarity with Git and version control workflows

Audience

  • Software developers looking to accelerate development with agentic AI
  • Engineering leads evaluating AI-assisted coding tools for teams
  • DevOps engineers integrating AI agents into CI/CD workflows
 14 小時

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