AI Coding Agents: Build Software with Claude Code and Cursor

Software development is changing rapidly with the rise of autonomous AI coding agents. If you want to transition from writing every line of code manually to orchestrating intelligent AI assistants, you need to understand how these agentic workflows actually operate. This course teaches you how to collaborate with modern AI coding tools like Claude Code and Cursor to build, test, and deploy software. You will learn how to transition from simple code generation to advanced agentic engineering, utilizing context management, Model Context Protocol (MCP), and multi-agent configurations to automate your development workflow safely and efficiently. What you'll learn: - Understand the core concepts of AI coding agents, including loop-based execution, sandboxing, and autonomous decision-making. - Configure and navigate Claude Code using slash commands, checkpoints, and custom skills. - Master context management by writing effective instructions and utilizing system files like agents.md to guide AI behavior. - Implement the Model Context Protocol (MCP) to connect your AI agents to external databases, APIs, and local development environments. - Design multi-agent workflows where specialized sub-agents collaborate to solve complex programming tasks. - Apply best practices for reviewing, testing, and debugging AI-generated code to prevent errors and technical debt. You will start by mastering foundational AI assistant concepts and setting up your local environment. From there, you will progress through practical, text-based guides that demonstrate how to manage context, connect external tools, and orchestrate multi-agent systems for real-world software projects. This course is designed for beginners, aspiring developers, and tech enthusiasts who want to leverage AI to build software. No prior background in artificial intelligence or advanced engineering is required. Start reading today and discover how to build software faster with AI coding agents.