Course overview
This course introduces the fundamentals of agentic coding using Claude Code, Anthropic's command-line AI assistant. Starting with setup and terminal authentication, you will quickly move to core workflows like the Plan-Code-Test-Document approach for efficient token usage. The curriculum explores practical tool use for building Chrome extensions, managing context with CLAUDE.md files, and integrating external tools via the Model Context Protocol (MCP). Advanced sessions cover custom subagents, reusable skills, event-driven hooks, and automated development loops. By the end, you will understand how to move beyond simple prompting to orchestrate multi-agent, iterative development processes directly from your terminal.
Who this course is for
This course is designed for developers who are comfortable with terminal environments and want to integrate AI deeply into their coding workflow. It suits those moving beyond chat interfaces to explore agentic tools that read, write, and manage code. If you are a JavaScript developer looking to build projects like Chrome extensions with natural language or an engineer aiming to automate repetitive tasks through custom commands and parallel agents, this content provides a practical foundation. No prior experience with Claude Code is required, but basic Git and npm knowledge is assumed.
How to study this sequence
Follow the playlist sequentially, as each lesson builds on the previous environment setup and concepts. Begin by installing Node.js and setting up your Anthropic account alongside Lesson 2 to establish a working terminal session. As you watch, keep a project directory open to test commands like scaffolding a Chrome extension or configuring a CLAUDE.md file in real time. For the multi-agent and automated loop sections later in the course, prepare a small side project to safely experiment with unattended execution and Git worktrees without risking important code.
What you should be able to do
By completing this course, you will be able to operate Claude Code efficiently for real development tasks beyond simple code generation. You will gain the ability to structure complex prompts, configure project-specific memories, and connect the agent to external tools using MCP servers. The course equips you to build modular automation with custom skills and plugins, orchestrate parallel agent tasks with Git worktrees, and set up continuous, spec-driven development loops that iterate until a solution works.
