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Course Outline
Introduction to Claude Code
- Understanding what Claude Code is and how it differs from traditional copilots.
- Key features: deep codebase understanding, multi-file editing, and seamless terminal integration.
- Overview of the agent loop and advanced planning capabilities.
Installation and Configuration
- Installing Claude Code via npm and official distribution packages.
- Setting up API keys and authentication protocols for Anthropic models.
- Configuring the terminal and exploring IDE plugin options.
- Managing context windows and understanding token limits.
Navigating Codebases with Natural Language
- Executing search and query commands across extensive file structures.
- Gaining insight into file relationships and dependency mapping.
- Refactoring and restructure code using targeted prompts.
Multi-File Editing Workflows
- Building features that span across multiple files simultaneously.
- Managing cross-file dependencies effectively.
- Performing testing and validation following automated edits.
Approval Modes and Security
- Understanding automatic, semi-automatic, and manual approval levels.
- Defining boundaries for agent autonomy to ensure safety.
- Reviewing proposed changes before application in production environments.
Git Integration
- Initiating branches and committing changes directly through Claude Code.
- Receiving assistance with diff reviews and resolving merge conflicts.
- Generating commit messages and creating changelogs automatically.
Debugging and Bug Fixing
- Identifying root causes of issues across the entire codebase.
- Applying targeted patches and executing tests efficiently.
- Leveraging the agent for regression testing purposes.
Team and Enterprise Features
- Utilizing shared context and team-specific configurations.
- Implementing custom rules and enforcing coding style standards.
- Exploring enterprise deployment patterns and SSO considerations.
CI/CD and Automation Workflows
- Triggering agent tasks directly from pipeline events.
- Conducting pre-commit checks and automated code reviews.
- Running Claude Code in headless and CI environments.
Performance Optimization
- Managing large codebases within context limit constraints.
- Splitting workloads and caching session data for efficiency.
- Selecting the appropriate model tier for specific tasks.
Troubleshooting
- Resolving common connection and authentication issues.
- Debugging agent misinterpretations and erroneous edits.
- Handling rate limits and token exhaustion scenarios.
Security and Compliance
- Addressing data handling and privacy considerations.
- Managing sensitive credentials and secrets within agent contexts.
- Establishing enterprise audit trails and governance frameworks.
Summary and Next Steps
- Recap of key features and effective workflows.
- Resources for continued learning and community support.
- Transitioning to advanced Claude Code topics.
Requirements
- Proficiency in software development using at least one programming language.
- Fundamental knowledge of command-line and terminal operations.
- Familiarity with Git and version control workflows.
Target Audience
- Software developers aiming to accelerate their workflow using agentic AI.
- Engineering leads evaluating AI-assisted coding tools for their teams.
- DevOps engineers integrating AI agents into CI/CD workflows.
14 Hours
