How to Work with Claude — From Practical Workflow Automation to Vibe Coding

If you design the tests first, AI handles the implementation. A practical development approach that captures both speed and quality!

This course teaches non-developers how to properly build, operate, and monetize a service using Claude Code. It provides template repositories and operational know-how so that non-developers and beginner developers alike can use Claude Code at the level of the top 1% of developers. This course will be especially helpful for those who want to build a service with Claude Code at a truly “professional developer” level; those who want to create a service capable of generating revenue through a one-person business or side project; those who have built something powered by an AI agent like Claude Code but are stuck because they lack the know-how to operate it properly; and those who feel overwhelmed as their solo project grows because bugs keep occurring and things become difficult to control whenever they add new features. The course also covers how to build a foundation for monetization and provides guidance on operating the service under the assumption that real customers will be using it. Once you have actual customers, processes such as monitoring errors occurring on the production server, server status, and logs are essential. However, there are surprisingly few places that teach these processes. In my course, along with this kind of detailed and professional operational know-how, I also explain how to enable AI to observe these monitoring metrics and data and take appropriate action.

Did you buy a MacBook in the AI era but feel overwhelmed about where to start? A developer with 15 years of macOS experience will guide you through everything, starting from 'device initialization.' ✅ App installation · Essential macOS tips · Terminal · Homebrew · Setting up development environments ✅ Claude Code & Agentic Coding to create an environment where AI codes for you 👉 Start now and complete your development environment within today — make it the first day you truly master your MacBook.

Even if you are not a major or a designer, you will learn how to directly create and modify web UIs, proposals, and design systems using Claude Design and Figma. To ensure immediate application in practice, the course proceeds step-by-step with a focus on hands-on practice—covering everything from the differences between Claude Code and Claude Design to installation, plugin utilization, component-based UI production, design modification, and methods for applying them to live services. This lecture is designed to help developers, planners, and marketers who found design tools difficult to experience rapid result-making through AI and component-based workflows.

Please check the link (https://hanb.link/1blt) for updates as of September 2026. If you want to learn step by step—including features introduced since the book’s publication, such as harness engineering, Claude Design, and dynamic workflows—check out the 25-session hands-on course from Hanbit+. 🔍 Search for '혼자 공부하는 바이브 코딩' on Hanbit+ (hanbit.co.kr) · Lifelong Education Voucher accepted We live in an era when you can build apps without knowing how to code. If you have an idea, you can converse with Claude Code and implement the features you want. Rather than writing code directly, this book introduces a new development approach that involves communicating with AI to achieve the desired results. By following 15 hands-on projects, you will experience a variety of workflows with AI—from creating a personal webpage to handwriting recognition, quiz apps, image-based recommendations, AI summarization, Notion automation, and cloud deployment. Rather than simply following basic examples, the book provides the experience of completing the entire practical development process—from planning and design to testing and deployment—in collaboration with AI.

This is a practical introductory course designed to help general office workers utilize generative AI as a business partner rather than just a simple tool. The objective is to develop the ability to use AI safely while complying with security and copyright standards, based on an accurate understanding of its operating principles and limitations. From the core principles of prompt engineering to streamlining text-based tasks such as planning, reporting, emailing, and minutes-taking, as well as Excel data analysis and the use of images and PDF documents, students will learn step-by-step. This helps drastically reduce time spent on repetitive tasks and secures the practical capability to handle multiple roles. Beyond individual use, the course covers how to build team-level work templates and standards. It is an action-oriented curriculum designed to ensure that participants possess work automation assets that can be applied immediately to their jobs after completion, leading to productivity improvements across the entire organization.

It’s an easy and fun click-through lesson. You can use it as a reference for the direction of your portfolio.

Explore → Plan → Implement → Commit. Master a proven AI development workflow with Claude Code. Learn everything from MCP and sub-agents to prompt engineering through 23 missions, and complete 3 real-world projects.

A practical introductory course on Claude Code for Unity developers! From installing Claude Code to Unity MCP integration, managing project conventions using CLAUDE.md, custom slash commands, and collaboration workflows—we will teach you everything you need to know for real-world application. Finally, you will gain hands-on experience effectively applying Claude Code to a Unity project by building a Survivor-style game from scratch.

Learn how to use chatGPT in practice to dramatically increase your work productivity, and apply it directly to your work, from document writing to data analysis!

An advanced, hands-on course on designing an AI assistant with OpenClaw to perform repetitive tasks with consistent quality. You will configure memory, rule files, permissions, role separation, and stop conditions, then build a reliable AI assistant operating system you can trust with everything from recurring document creation to regular briefings.

No Coding Skills Required: Build Your Very First Service with Google Stitch An All-in-One AI Development Workflow That Seamlessly Connects Every Step from Planning to Deployment

Complete everything from design to TDD and CI with Claude Code. Taking a single feature from one line of spec all the way to main merge.

If you’ve tried Claude Code but felt unsure how to apply it to your work, you’ll learn everything in one go—from installation and three projects to the latest features (opusplan, /goal, Mods) and harness engineering. By measuring things directly before and after enabling all the features, you’ll learn how to make decisions based on numbers rather than intuition.

Learn what JEV is in simple terms first. Then follow the process of checking the results in the TypeSafe AI Playground and creating a Mac app that recommends emojis matching a sentence by making verbal requests to Claude Code. From signing up and connecting your API key to making your code public on GitHub, learn together through five videos and learning materials that include screen captures and prompts you can copy.

This is a practical course that uses Codex to connect business planning, website creation, marketing materials, task organization, and email automation. Even if you are not a developer, you will learn how to delegate tasks to AI and refine the results using Notion, Linear, Figma, and Google Workspace in an actual workflow sequence.

For those of you who have completed intermediate SwiftUI, it is now time to integrate AI into your apps. Complete an on-device AI app that runs locally without an internet connection using Apple Intelligence and the FoundationModels framework.

From coding basics to launching your own app all at once?! The App Build All-in-One, connecting fundamentals and practical application.

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.