This course goes beyond simply using Claude Code as a chat window; it teaches you how to weave CLAUDE.md, Skills, Hooks, Subagents, and MCP into a single, predictable, and scalable development workflow. It doesn't end with just explanations. You will build a resume-polishing project from start to finish, experiencing the difference firsthand.
It's not that you're stuck because you don't know the concepts. Often, the real reason is that you've never personally verified in what order those pieces should be stacked on a real project, and why they must be in that specific order. This course isn't about how to write good prompts; instead, we will build an entire development system from scratch that makes AI operate reliably.
You might have heard of each component individually, but when it comes to explaining what to put first, what to layer on later, and why that specific order matters, you find yourself at a loss for words.
Even when the same request is sent, the tone varies, and sometimes project rules are followed while other times they are glossed over, so a person has to double-check every single time.
You have learned the concepts through documents and videos, but because you haven't built a project from scratch with your own hands, you feel lost on where to even begin with your own project.
By comparing the actual difference in results before and after adding a single CLAUDE.md file, you will develop the intuition to make your own judgments in your next project.
In the practice section, a draft resume and a job posting are already prepared as examples. Try asking, "Please revise this resume to match this job posting," without any harness, and then try asking the exact same thing again after adding just a single CLAUDE.md file.
You will create that one-line difference yourself and compare them with your own eyes. Because hearing an explanation of why a single line of rules is necessary is a completely different story from experiencing it firsthand.
We do not simply list features. We provide a structure that can be reused directly in actual projects, along with the experience of building it yourself from start to finish.
Context, Composition, Control, Capability. We will start by drawing the big picture of how to layer the five tools onto these four stages.
We will personally create a scalable structure to manage commands, agents, rules, and external tools within a project.
By building a resume-polishing project step-by-step from scratch, you will gain hands-on intuition that cannot be acquired through explanations alone.
You will learn why the writer and the verifier must be separated and why a supervisor is necessary by designing a team yourself.
Create a workflow where dangerous commands are stopped on the spot, and outputs are automatically filtered once more before being sent out.
You will learn through real-world examples what to check before attaching external tools via MCP and why you shouldn't connect to just any server.
This entire lecture is summarized in this single diagram. In the practice session, we will build it step-by-step, following this exact sequence.
Capture the rules and context the project must follow in a single document, ensuring Claude reads it before starting every session.
Organize repetitive workflows into skill units and delegate them by role, as if working with a team.
Install automatic safety guards that trigger before and after execution, so that humans don't have to check every single time.
It connects verified external tools and data, bringing in context from outside the project.
In the practice section, these four steps are organized into 6 actual folders. Since each step is a complete copy of the previous one with only the new lessons added on top, you can jump directly into any stage you're curious about to start your practice.
You don't need to build everything from scratch. Just open the folder for the step you are currently learning and start practicing right away. By comparing two folders, you can see exactly what has been newly added at that stage, file by file.
Try making a request first without any harness. While you do get a result, the tone varies every time, and it's difficult to distinguish how much of the experience is actually genuine.
Compare the results that change just by adding a single sheet of rules, side-by-side with Step 0.
Apply the skill units broken down by role, and observe as the main session selects and uses the appropriate skills for each situation on its own.
Separate the writer and the verifier. We will also check why all results must pass through a single point, as the structure prevents them from calling each other directly.
We will personally set it up so that dangerous commands stop on the spot and outputs are automatically filtered one more time before being sent out.
We will implement the actual recruitment information search and connect it to My Drive. We will also go over what needs to be checked before connecting any tools.
You will witness the entire process through actual execution logs—from fetching job postings and having different agents analyze and write, to automatically checking formats and finally verifying the facts. The system runs on its own without the need for a human to provide instructions at every step.
It is suitable for those who use tools like Claude Code, Cursor, and Codex but want to make the quality of results and repetitive tasks more stable.
It is ideal for those who want to go beyond individual prompting know-how and create rules and structures that can be shared at a team level.
For those who have learned about CLAUDE.md, Skills, Hooks, Subagents, and MCP individually but have never seen how they actually interlock and function together through a single project, this practical session serves that exact purpose.
I recommend this to those who are curious about concepts like Agents, MCP, Hooks, and Skills, but feel overwhelmed about where to start structuring them.
We will lay the groundwork for ensuring the AI adheres to project rules and context in every session.
Learn how to organize repetitive workflows into reusable units of ability.
Create safety guards and validation flows that are automatically triggered before and after execution.
Learn how to divide tasks by role and delegate them within a structure where they cannot call each other directly.
Verify and connect external tools and data to bring in context from outside the project.
You will learn how to package these tools and transfer them as-is to other projects and teams.
Complete the big picture by reorganizing the five tools across the four layers.
This is a practical application session where you will build an "AI Portfolio Maker" project from scratch, integrating everything you have learned so far. This is the final lecture of the course.
Now, a developer's competitiveness is no longer about how quickly they can assign tasks to AI. It is becoming increasingly important to have the ability to ensure AI follows project rules, executes safely, and operates repeatably within a team's workflow. Don't just stop at listening to the explanation; see the difference for yourself through a project you build from the ground up.
This lecture was great for grasping the overall context of harness engineering! However, I felt the practical hands-on parts were a bit lacking, which might be a downside for juniors or non-developers like myself. Still, I appreciated how the overall content was explained in an easy-to-understand manner. It would be great if you could strengthen the practical exercises or open an advanced course!! Thank you.
The content is excellent for the price..!! If I had to mention one minor drawback, I would love to see hands-on practice videos that I can follow along with immediately after the theoretical explanations, even if it means increasing the price slightly..
TL;DR: If you have a basic understanding of how to use Claude, you can learn the core operational knowledge of Claude Code. (Basic understanding = You've installed Claude Code but only use simple /plan commands or basic queries.) Ah, the title tricked me! lol. I thought it was only going to cover Harness, but it summarizes overall and in-depth knowledge of Claude Code so well, focusing only on the essentials. I've invested hundreds of dollars purchasing about three different courses related to Claude. In this day and age, YouTube or official documentation is usually enough for introductions or basic usage, so there really shouldn't be a reason to buy three courses. Nevertheless, the reason I spent money on a course was to gain insights into what perspective to take on the technology and how to apply it from a practical, real-world standpoint. In that regard, I feel this course perfectly reflects the instructor's expertise and deep consideration of the subject. If there's one thing I'm disappointed in, it's the quality of the presentation materials... perhaps because you're an engineering student? 😂😂 Please make the presentation materials more readable next time!!!
It was the best lecture for getting a grasp of the basic concepts of Claude overall. I'm not sure if I'm asking for too much hand-holding, but it would be the icing on the cake if there were examples of building a small project from scratch for beginners.
To be honest, I purchased this with high expectations, but I was quite disappointed. Seeing the title 'Harness Master,' I expected to learn more than just simple feature introductions—I thought I would learn how to deeply apply concepts like Claude.md, Skills, Hooks, MCP, and Plugins to actual projects. However, after listening to it, the content was quite far from what I had expected. Most of the lecture followed a format of summarizing information available in official documentation or on YouTube into PPT slides and then explaining them. While this might be helpful for beginners, as someone paying for a course, I constantly felt that the "So, how do I actually use this?" part was missing. The lack of depth was particularly disappointing. I was curious about things like why Claude.md is important, what criteria should be used to design Skills, and how to integrate MCP into an actual workflow. Instead, a lot of time was spent on feature introductions and listing concepts. Rather than gaining new perspectives, it felt more like someone was just reading the official documentation to me. The hands-on practice was also below expectations. I expected step-by-step guides or example projects for the practice sessions, but in reality, many cases consisted of just a few screenshots and brief explanations. There was a lack of guidance on what to build, where to start, and why it should be done that way, making it difficult to follow along. Personally, the most regrettable point was that the lecture didn't feel like it was leading the learner. A good lecture includes explanations like "This part is difficult, so try understanding it this way," "Most people get stuck here," or "This is how it's used in practice." I hardly felt any of that experience-based guidance in this course. In the end, after finishing the lecture, only one thought remained: 'With this level of content, wouldn't there be much difference if I just studied on my own by looking at official docs, YouTube, and asking AI?' 50,000 won might not be a huge amount of money. However, what's more regrettable than the money is the time. I invested several hours with the expectation of learning something deeply, but I didn't gain the insights or practical know-how I had hoped for. For those considering a purchase in the future, I recommend thoroughly checking the curriculum and sample lectures first to see if they match your level of expectation.
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