Software Engineering with Claude Code

Modern software development is moving directly into the terminal, where AI assistants can interact with your file system and tools in real-time. This course teaches you how to move beyond basic prompts and implement a professional workflow that ensures AI-generated code is reliable, secure, and maintainable. You will transform your development process by learning to treat AI as a collaborator that understands your specific project context and local data sources. What you'll learn: - Understand terminal-based AI assistance and the core explore-plan-code workflow - Configure persistent project context using specialized documentation files like CLAUDE.md - Connect AI to external data sources and databases using the Model Context Protocol (MCP) - Create custom agents and reusable skills for automated code reviews and security audits - Build a functional command-line interface tool through structured planning and execution - Apply systematic testing and verification checklists to validate AI-generated code The course begins with foundational concepts and setup, guiding you through the logic of agentic workflows before moving into practical implementation and data integration. You will read through detailed explanations and refine your understanding through written exercises designed to simulate real-world coding scenarios. This course is designed for developers and students who are new to terminal-integrated AI tools and want to build a solid foundation in modern, AI-assisted engineering. No prior experience with agentic tools is required. Start reading today to modernize your software development workflow.