Claude Code Masterclass: Code 5× Faster with Agentic AI

Follow along as I demonstrate my own project and explain how you can use your own project to practice and explore Claude Code’s capabilities.

Learn how to use the /init slash command to automatically generate a claude.md file that organizes your project and tracks your AI interactions.

Explore plugin options like Ask Before Edit, Plan Mode, History, and Slash Command Button. Learn how each setting affects your workflow and productivity.

Discover how to access the same functionality available in the plugin directly through the terminal. Perfect for developers using different IDEs or lightweight setups.

Watch Claude Code in action as we fix a real bug in our sample project. Learn how to guide the AI, review its plan, and validate results step by step.

Revisit how Claude Code identified and fixed the bug. We’ll clarify key steps from the previous video and discuss how Claude’s reasoning process works.

Discover how Claude Code manages sessions, context, and memory. Learn best practices to keep sessions clean, compact, and relevant across long coding interactions.

Anthropic has updated the Claude Code documentation URL and UI. - https://code.claude.com/docs/en/

In this quick update, you’ll learn about the new docs link and how to navigate it if the course references the older version.

No functionality has changed — this is just to help you stay aligned with the latest documentation.

Discover what slash commands are and how they supercharge your workflow. Learn the most useful built-in commands for running tasks, managing sessions, and automating actions instantly.

Go beyond the basics—build your own slash commands to fit your coding style. Learn how to define commands at the project or user level, pass arguments, and unlock full control over Claude’s behavior.

Understand how Claude Code permissions and preferences work. Explore the settings.local.json file to set allow, deny, or ask modes for commands and ensure a secure, personalized development setup.

Learn what hooks are in Claude Code and how they connect your workflows to real-time actions. Create a notification hook, integrate it through settings, and automate alerts or custom triggers seamlessly.

Understand GitHub’s core concepts—issues, actions, workflows—so you can confidently connect Claude Code to real version control tooling.

Learn to install GitHub CLI, authorize it, and configure Claude Code to trigger GitHub actions directly from your project environment.

Watch a live demo: tag an issue with @claude, and see Claude generate a fix and open a pull request automatically. Full pipeline in action.

Walk through workflow settings and permissions. Build a blueprint for how Claude interacts with GitHub safely across projects.

Learn the core rules that help Claude Code understand you better and produce higher-quality output. Hour To learn - Coding Agent Rules - Follow these best practices to boost productivity and avoid common pitfalls when coding with agentic AI.

Learn how to add and use the statusLine in Claude Code to track key details like context size, token usage, active model, and branches.

This helps you better understand how Claude processes your prompts, avoid context limits, and optimize your prompting for more efficient and accurate results.

Understand the different modes in Claude Code — Default Mode, Auto-Accept Edits, and Plan Mode — and how they impact your workflow.

Learn when to use each mode, the key differences between them, and see a hands-on demo of Plan Mode to plan changes before applying them. This helps you stay in control while building with AI.

Learn how to create simple artifact files like task.md or implementation.md to track all changes made by Claude Code during a session.

Inspired by practices from Google Antigravity, this approach helps both you and the AI stay organized, avoid missing steps, and maintain a clear record of code changes, decisions, and configurations in one place.

A powerful technique to make your AI-assisted development more structured, transparent, and reliable.

Understand what MCP tools are and why they’re a game-changer for agentic AI. Learn the host-client-model setup and how Claude Code uses tools to interact with real systems and data.

Step-by-step setup of your first MCP tool in Claude Code. Configure permissions, verify the connection, and prepare your environment using Playwright as our example tool.

Watch Claude Code run real Playwright tests from inside your project. You’ll execute UI checks, validate behavior, and accelerate your development workflow through automation.

Understand the difference between MCP tools and CLI commands in Claude Code.
Learn when to use each approach using Playwright as a real example, and how to decide the right method for different automation tasks.

By the end, you’ll know how to choose between direct command execution (CLI) and structured tool-based workflows (MCP) for faster and smarter development.

Great work reaching this point! You’ve now seen how to install and use MCP tools to automate real-world tasks with Claude Code. In the advanced section later in this course, we’ll take it a step further — by creating your own custom MCP tools to integrate APIs, automate internal systems, and enhance your workflow in powerful ways.

Learn what sub-agents are, how they function inside Claude Code, and why they’re key to building scalable AI workflows. Explore real use cases where sub-agents improve focus, parallel tasks, and productivity.

Build two sub-agents from scratch—one for UX design and another for automated UI testing with Playwright. See how each agent specializes in its role to streamline collaboration and reduce manual effort.

Create powerful custom slash commands that trigger your sub-agents automatically. Learn how to chain tasks, control workflow logic, and simplify complex processes into a single AI-driven command.

Watch an exciting full demo where Claude and your sub-agents design, develop, and test a new contact page. Experience how agentic AI can handle an entire development cycle with minimal manual input.

Learn what Agent Skills are and how they transform Claude from a general assistant into a domain expert. We dive into the SKILL.md structure and the concept of Progressive Disclosure, explaining how Claude manages your context window by loading information only when needed.

Key Takeaways:

• Defining Level 1, 2, and 3 information loading.

• The benefits of portable, shareable skills.

• How to create your first SKILL.md file correctly.

This video provides a clear technical comparison between Agent Skills (Behavior), MCP (Connectivity), Sub-agents (Parallelism), and Slash Commands (Manual triggers). You’ll learn exactly which architectural pattern to choose for every development scenario.
Key Takeaways:

• When to use a Skill vs. a Sub-agent.

• How MCP servers provide the "tools" that Skills "operate."

• The "Decision Matrix" for optimized AI orchestration.

Watch a complete hands-on demo where we build a professional UI/UX Designer Skill for our Flask project. We’ll code a custom Python verification script and use the Playwright MCP to capture screenshots, allowing Claude to "see" the UI and apply expert design principles automatically.

Key Takeaways:

• Setting up the .claude/skills/ directory.

• Writing an auto-triggering skill description.

• Integrating Python scripts and Playwright for visual verification loops.

1. Master the Marketplace: Navigate, connect, and install plugins in just a few clicks.

2. Leverage Open Source: Access powerful agents, skills and commands tested and refined by thousands of other Claude users.

3. Instant Automation: Trigger specialized tools for coding, data analysis, and research without writing a single line of config.

4. Save Hours of Setup: Skip the manual creation process and start using "battle-tested" plugins immediately.