I hadn't been able to organize the potential issues that occur with large-scale traffic in my head, but this single lecture makes me feel like all my fragmented knowledge is finally coming together. I am so grateful to be able to take a course like this.

I am a working developer. While studying backend design, I found this lecture along with the challenge and took it. Since it covers design, it might be easier if you already have some knowledge of development rather than being a complete beginner. However, I think exploring things you don't know as you listen is also a great way to learn, haha. I also had many moments where I looked things up while following along. There are things to be careful about when using AI for design, and I liked that the course included hands-on practice on how developers should review the output. I learned a lot. During the practice sessions, v0 was used to implement the frontend, but since I was already using Claude, I tried building the frontend with Claude as well. (However, that increases the amount of stuff you need to review, so if you want to progress quickly, following the lecture exactly might be the better way.) Thanks to this, I learned the basics of design and AI utilization well. The difficulty level was appropriate, and the explanations were clear, making it easy to follow along. + I thought it would be even better for hands-on practice if there were sections like Docker integration. Of course, learners can try that on their own as well, haha.

Thank you.

It was great to see the entire flow, covering not only the application but also Docker, AWS, and GitHub Actions. Thank you for the great lecture.