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Course Outline

Introduction to Claude Code

  • An overview of Claude Code, including how it differs from copilots
  • Key features such as codebase understanding, multi-file editing, and terminal integration
  • Detailed explanation of the agent loop and planning capabilities

Installation and Configuration for Government

  • Instructions for installing Claude Code via npm and official packages
  • Guidance on setting up API keys and authentication for Anthropic models
  • Options for terminal configuration and IDE plugins
  • Managing context windows and token limits in government environments

Navigating Codebases with Natural Language for Government

  • Utilizing search and query commands to navigate across files
  • Understanding file relationships and dependencies within government codebases
  • Refactoring and restructuring code using prompts for enhanced efficiency

Multi-File Editing Workflows for Government

  • Building features that span multiple files to support complex government projects
  • Managing cross-file dependencies to ensure coherent project structures
  • Conducting thorough testing and validation after automated edits to maintain integrity

Approval Modes and Security for Government

  • Options for automatic, semi-automatic, and manual approval levels to ensure compliance
  • Setting boundaries for agent autonomy in sensitive government applications
  • Reviewing changes before applying them in production contexts to maintain security

Git Integration for Government

  • Initiating branches and commits using Claude Code to streamline development processes
  • Assistance with diff review and merge conflict resolution to enhance collaboration
  • Generation of commit messages and changelogs for transparent documentation

Debugging and Bug Fixing for Government

  • Identifying root causes across the codebase to address issues efficiently
  • Applying targeted patches and running tests to ensure reliability
  • Utilizing the agent for regression testing to prevent recurring errors

Team and Enterprise Features for Government

  • Shared context and team-specific configurations to support collaborative projects
  • Custom rules and style enforcement to maintain consistency and compliance
  • Enterprise deployment patterns and SSO considerations for secure access

CI/CD and Automation Workflows for Government

  • Triggering agent tasks from pipeline events to automate development processes
  • Pre-commit checks and automated code review to ensure quality standards
  • Running Claude Code in headless and CI environments for continuous integration

Performance Optimization for Government

  • Managing large codebases within context limits to optimize performance
  • Splitting workloads and caching session data to enhance efficiency
  • Choosing the right model tier for specific tasks to balance resources and outcomes

Troubleshooting for Government

  • Resolving common connection and authentication issues in government systems
  • Debugging agent misinterpretations and incorrect edits to maintain accuracy
  • Handling rate limits and token exhaustion to ensure continuous operation

Security and Compliance for Government

  • Data handling and privacy considerations to protect sensitive information
  • Managing sensitive credentials and secrets within the agent context to prevent leaks
  • Establishing enterprise audit trails and governance practices to ensure accountability

Summary and Next Steps for Government

  • Recap of key features and workflows to support government operations
  • Resources for continued learning and community support to enhance proficiency
  • Transition to advanced Claude Code topics for deeper integration into government projects

Requirements

  • Experience in software development using at least one programming language
  • Proficiency with command-line and terminal operations
  • Knowledge of Git and version control practices

Audience

  • Software developers seeking to enhance development efficiency through agentic AI for government projects
  • Engineering leaders assessing AI-assisted coding tools for team integration
  • DevOps engineers incorporating AI agents into continuous integration and deployment (CI/CD) workflows
 14 Hours

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