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Course Outline
Introduction to Claude Code
- Defining Claude Code and distinguishing it from traditional copilot tools
- Core capabilities: comprehensive codebase understanding, multi-file editing, and deep terminal integration
- Insights into the agent loop structure and planning functionalities
Installation and Configuration
- Deploying Claude Code using npm and official distribution packages
- Configuring API keys and authentication mechanisms for Anthropic models
- Optimizing terminal settings and exploring IDE plugin alternatives
- Monitoring context windows and managing token limitations
Navigating Codebases with Natural Language
- Executing search and query commands that span across multiple files
- Comprehending file interdependencies and relationships
- Refactoring and reorganizing code structures through prompt-based instructions
Multi-File Editing Workflows
- Developing features that impact multiple code files simultaneously
- Managing dependencies that cross file boundaries
- Conducting tests and validation checks following automated code changes
Approval Modes and Security
- Implementing automatic, semi-automatic, and manual approval hierarchies
- Establishing clear boundaries for agent autonomy
- Reviewing proposed changes prior to application in production environments
Git Integration
- Creating branches and commits directly via Claude Code
- Assisting with diff reviews and resolving merge conflicts
- Generating commit messages and maintaining changelogs
Debugging and Bug Fixing
- Pinpointing root causes distributed across the codebase
- Applying precise patches and executing test suites
- Utilizing the agent to support regression testing efforts
Team and Enterprise Features
- Managing shared contexts and team-specific configurations
- Enforcing custom rules and coding style standards
- Addressing enterprise deployment patterns and SSO requirements
CI/CD and Automation Workflows
- Initiating agent tasks triggered by pipeline events
- Performing pre-commit validations and automated code reviews
- Executing Claude Code in headless modes and CI environments
Performance Optimization
- Handling large-scale codebases within context constraints
- Distributing workloads and caching session data for efficiency
- Selecting the appropriate model tier for specific tasks
Troubleshooting
- Addressing frequent connection and authentication challenges
- Diagnosing agent misinterpretations and incorrect edits
- Managing rate limits and token depletion issues
Security and Compliance
- Considering data handling practices and privacy implications
- Safeguarding sensitive credentials and secrets within the agent context
- Maintaining enterprise audit trails and governance structures
Summary and Next Steps
- Reviewing essential features and established workflows
- Exploring resources for ongoing learning and community engagement
- Paving the way for advanced Claude Code topics
Requirements
- Proficiency in software development using at least one programming language
- Foundational knowledge of command-line interfaces and terminal operations
- Working familiarity with Git and standard version control practices
Target Audience
- Software developers seeking to boost productivity using agentic AI
- Engineering leaders evaluating AI-assisted coding solutions for their teams
- DevOps engineers integrating AI agents into CI/CD pipelines
14 Hours
Testimonials (2)
Learning how to prompt Claude and use it to digest all of the data I have available.
Mike Hartleroad - Furniture Row
Course - Claude AI for Data Analysis and Business Intelligence
how to engage with the Office environment and set up repetitive tasks
