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Course Outline

Overview of Claude Code for Government

  • Definition of Claude Code and its distinction from standard copilot tools
  • Core capabilities: comprehensive codebase analysis, multi-file modification, and terminal interoperability
  • Summary of the operational loop and strategic planning features

Deployment and Configuration

  • Installation of Claude Code via npm and official distribution packages
  • Configuration of API keys and secure authentication for Anthropic models
  • Terminal setup and integration with Integrated Development Environments (IDEs)
  • Management of context windows and computational token thresholds

Codebase Navigation via Natural Language

  • Execution of search and query functions across distributed files
  • Analysis of file interdependencies and structural relationships
  • Refactoring and architectural adjustments through directive prompts

Multi-File Modification Protocols

  • Development of features requiring changes across multiple file entities
  • Management of dependencies that span across file boundaries
  • Verification and validation procedures following automated modifications

Authorization Modes and Security Controls

  • Definitions of automatic, semi-automatic, and manual approval hierarchies
  • Establishment of operational boundaries for agent autonomy
  • Pre-execution review of changes in production-grade environments

Version Control Integration

  • Initiation of branch creation and commit operations using Claude Code
  • Assistance with differential analysis and merge conflict resolution
  • Automated generation of commit messages and change logs

Diagnostic and Remediation Processes

  • Identification of root causes throughout the entire codebase
  • Application of precise patches and execution of test suites
  • Utilization of the agent for regression testing purposes

Organizational and Enterprise Capabilities

  • Shared contextual data and organization-specific configuration settings
  • Implementation of custom rules and style standard enforcement
  • Enterprise deployment architectures and Single Sign-On (SSO) integration

Continuous Integration/Continuous Deployment (CI/CD) and Automation

  • Triggering agent tasks in response to pipeline events
  • Pre-commit validation checks and automated code review processes
  • Execution of Claude Code in headless mode and within CI environments

Performance and Resource Optimization

  • Management of large-scale codebases within defined context limits
  • Workload distribution and caching of session data for efficiency
  • Selection of appropriate model tiers based on task complexity

Diagnostic Troubleshooting

  • Resolution of standard connectivity and authentication failures
  • Correction of agent misinterpretations and erroneous edits
  • Management of rate limiting and token exhaustion scenarios

Security and Regulatory Compliance

  • Data handling protocols and privacy safeguards
  • Protection of sensitive credentials and secrets within agent context
  • Maintenance of enterprise audit trails and governance standards

Conclusion and Future Implementation

  • Summary of primary capabilities and operational workflows
  • Identification of resources for ongoing professional development and community support
  • Transition to advanced applications of Claude Code

Requirements

  • Proficiency in software development in at least one programming language
  • Basic competency in command-line and terminal operations
  • Knowledge of Git and version control workflows

Target Audience

  • Software developers seeking to accelerate development through agentic AI tools
  • Engineering leaders evaluating AI-assisted coding solutions for organizational teams
  • DevOps engineers integrating AI agents into CI/CD operational workflows
 14 Hours

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