AI Development with Claude Code: From Setup to Workflow Automation

AI-driven development is shifting from simple chat interfaces to terminal-based agentic workflows. To stay competitive, developers need to integrate AI agents directly into their local command-line environment for faster coding, debugging, and refactoring. This text-based course guides you through Claude Code, the command-line tool designed to accelerate your development workflow. You will transition from manual coding to supervising an AI agent that can read your codebase, run tests, fix bugs, and execute terminal commands safely. What you'll learn: - Understand the core architecture and security model of command-line AI coding agents - Configure Claude Code in your local terminal environment and manage project permissions - Write effective terminal prompts to explain, refactor, and document existing codebases - Automate debugging sessions by letting the AI run tests and analyze stack traces - Integrate modern development practices like git workflows and unit testing with AI assistance - Apply safety boundaries and cost-control strategies to keep your automated runs secure and efficient Starting with foundational setup and terminal security, the course guides you through interactive prompts, multi-file editing, automated test execution, and safe git integration. You will read through practical scenarios and structured text explanations designed to build your confidence in agentic development. This course is designed for software developers, engineers, and tech students who want to adopt AI-native workflows. No prior experience with command-line AI agents is required, though basic familiarity with terminal commands and git is helpful. Start reading today and transform how you write and maintain software with AI.