This course provides software developers with the practical skills to use Claude Code as a primary interface for reading codebases, editing files, and executing terminal commands. Participants will transition from basic chat interfaces to master a terminal-based agent that understands their entire codebase and integrates seamlessly with existing development tools. Through interactive demonstrations, hands-on labs, and discussions, participants will gain the knowledge to integrate an AI-coding assistant into their daily workflows.
Prerequisites:
In order to succeed in this course, you will need:
- Strong programming experience and familiarity with CLI/Git workflows
- Familiarity with shell environments and permissions
NOTE: Pluralsight requires each participant to have access to the Generative AI tool(s) used in this course. Where Customer does not provide that access, Pluralsight will provide it and AI lab fees will apply.
Purpose
| Learn to use Claude Code as a primary interface for reading codebases, editing files, and executing terminal commands |
Audience
| Software engineers and development teams looking to automate bug fixes, feature builds, and repetitive tasks |
Role
| Software Engineers | AI Engineers |
Skill level
| Intermediate |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 2 days |
Related technologies
| Gen AI | Git | AI/ML |
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Learning Objectives
- Navigate and analyze large-scale codebases using Claude Code's semantic understanding
- Directly edit files and manage multi-file refactors using automated workflows
- Safely execute terminal commands and manage shell processes through the AI interface
- Integrate Claude Code with external tools via the Model Context Protocol (MCP)
- Implement security guardrails to protect sensitive data and environment variables
