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Course Outline
Introduction to Claude Code
- Understanding what Claude Code is and how it differs from copilots.
- Key features: codebase comprehension, 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.
- Terminal configuration and IDE plugin options.
- Managing context windows and token limits.
Navigating Codebases with Natural Language
- Using 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 multiple files.
- Managing cross-file dependencies.
- Testing and validation after automated edits.
Approval Modes and Security
- Automatic, semi-automatic, and manual approval levels.
- Setting boundaries for agent autonomy.
- Reviewing changes before application in production contexts.
Git Integration
- Initiating branches and commits with Claude Code.
- Diff review and merge conflict assistance.
- Commit message generation and changelog creation.
Debugging and Bug Fixing
- Identifying root causes across the codebase.
- Applying targeted patches and running tests.
- Using the agent for regression testing.
Team and Enterprise Features
- Shared context and team-specific configurations.
- Custom rules and style enforcement.
- Enterprise deployment patterns and SSO considerations.
CI/CD and Automation Workflows
- Triggering agent tasks from pipeline events.
- Pre-commit checks and automated code review.
- Running Claude Code in headless and CI environments.
Performance Optimization
- Managing large codebases within context limits.
- Splitting workloads and caching session data.
- Choosing the right model tier for the task.
Troubleshooting
- Resolving common connection and authentication issues.
- Debugging agent misinterpretations and incorrect edits.
- Handling rate limits and token exhaustion.
Security and Compliance
- Data handling and privacy considerations.
- Managing sensitive credentials and secrets in 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 with software development in at least one programming language.
- Basic proficiency in command-line and terminal usage.
- Familiarity with Git and version control workflows.
Target Audience
- Software developers aiming to accelerate development using agentic AI.
- Engineering leads evaluating AI-assisted coding tools for their teams.
- DevOps engineers integrating AI agents into CI/CD workflows.
14 Hours
