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Course Outline
Overview of Claude Code
- Definition of Claude Code and distinctions from standard code completion tools
- Core capabilities: comprehensive codebase analysis, multi-file modification, and terminal interoperability
- Functionality of the autonomous agent loop and strategic planning mechanisms
Installation and System Configuration
- Deployment of Claude Code via npm and authorized distribution channels
- Configuration of API credentials and authentication protocols for Anthropic model access
- Terminal environment setup and IDE extension compatibility
- Management of context window allocations and token constraints
Codebase Exploration via Natural Language
- Execution of search and query operations across file structures
- Analysis of file interdependencies and architectural relationships
- Systematic refactoring and structural reorganization through prompt-based instructions
Multi-File Editing Protocols
- Implementation of features requiring cross-file modifications
- Management of inter-file dependencies during automated changes
- Validation and testing procedures following automated code updates
Approval Mechanisms and Security Controls
- Definition of automatic, semi-automatic, and manual review tiers
- Establishment of operational boundaries for agent autonomy
- Pre-deployment review processes for changes in production environments
Git Version Control Integration
- Creation of branches and commit actions via Claude Code
- Review of diffs and assistance with merge conflict resolution
- Automated generation of commit messages and change logs
Debugging and Error Resolution
- Identification of root causes within the broader codebase
- Application of targeted patches and execution of diagnostic tests
- Utilization of the agent for regression testing protocols
Team and Enterprise Deployment
- Configuration of shared context and team-specific parameters for government use
- Implementation of custom rules and code style enforcement
- Enterprise deployment strategies and Single Sign-On (SSO) integration
CI/CD and Automation Integration
- Triggering agent tasks through continuous integration pipeline events
- Pre-commit validation and automated code review processes
- Operation of Claude Code in headless and CI/CD environments
Performance Optimization
- Management of large-scale codebases within defined context limits
- Workload distribution and session data caching strategies
- Selection of appropriate model tiers based on task requirements
Troubleshooting
- Resolution of connectivity and authentication discrepancies
- Diagnosis of agent misinterpretations and erroneous code modifications
- Management of API rate limits and token consumption
Security and Regulatory Compliance
- Data handling protocols and privacy safeguards
- Control of sensitive credentials and secrets within agent contexts for government operations
- Enterprise audit trails and governance frameworks
Summary and Future Directions
- Review of primary features and operational workflows
- References for ongoing education and community engagement
- Transition pathways to advanced Claude Code methodologies
Requirements
- Proven proficiency in software engineering utilizing at least one programming language
- Foundational competency in command-line interface operations and terminal environments
- Working knowledge of Git protocols and version control procedures
Target Audience
- Software engineers seeking to optimize development cycles through the application of agentic AI technologies
- Engineering management personnel assessing AI-enabled coding solutions for organizational adoption
- DevOps professionals responsible for incorporating AI agents into continuous integration and deployment pipelines
14 Hours
