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Course Outline
Introduction to Claude Code
- Understanding what Claude Code is and how it differs from copilot tools.
- Key features: codebase understanding, multi-file editing, and terminal integration.
- Overview of the agent loop and planning capabilities.
Installation and Configuration
- Installing Claude Code via npm and official packages.
- Setting up API keys and authentication for Anthropic models.
- Configuring the terminal and exploring IDE plugin options.
- Managing context windows and token limits.
Navigating Codebases with Natural Language
- Utilizing search and query commands across files.
- Understanding file relationships and dependencies.
- Refactoring and restructuring code using prompts.
Multi-File Editing Workflows
- Building features that span across multiple files.
- Managing cross-file dependencies.
- Conducting testing and validation after automated edits.
Approval Modes and Security
- Understanding automatic, semi-automatic, and manual approval levels.
- Establishing boundaries for agent autonomy.
- Reviewing changes before application in production contexts.
Git Integration
- Initiating branches and commits with Claude Code.
- Assistance with diff review and merge conflicts.
- Generating commit messages and creating changelogs.
Debugging and Bug Fixing
- Identifying root causes across the codebase.
- Applying targeted patches and running tests.
- Utilizing the agent for regression testing.
Team and Enterprise Features
- Shared context and team-specific configurations.
- Implementing custom rules and style enforcement.
- Enterprise deployment patterns and SSO considerations.
CI/CD and Automation Workflows
- Triggering agent tasks 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 limits.
- Splitting workloads and caching session data.
- 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.
Security and Compliance
- Data handling and privacy considerations.
- Managing sensitive credentials and secrets within agent context.
- Enterprise audit trails and governance.
Summary and Next Steps
- Recap of key features and workflows.
- Resources for continued learning and community support.
- Transition to advanced Claude Code topics.
Requirements
- Experience in software development using at least one programming language.
- Basic proficiency with command-line and terminal usage.
- Familiarity with Git and version control workflows.
Audience
- Software developers seeking to accelerate development through agentic AI.
- Engineering leads evaluating AI-assisted coding tools for their teams.
- DevOps engineers integrating AI agents into CI/CD workflows.
14 Hours
