It explains the process of building a service using Spring for the backend very well, covering everything from login to posts and timelines. I think it would be very helpful for beginners if taken alongside the "Completing One Cycle of Backend Service with Spring Boot and AWS" course. The AI portion was well-introduced in one section. However, I initially took off one star because it wasn't covered throughout the entire course as I had expected -> but I've added it back since it was updated later. ^^

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.

I enjoyed the class. There were some parts that were difficult to understand due to a lack of explanation for beginners, but I'm giving it 5 stars because it was a great lecture at an affordable price.

Although the course difficulty is listed as beginner, the actual topics are not at a beginner level. The subject matter is excellent, and since it actively utilizes AI agents, I believe it is a well-suited course for this transitional era of AI-assisted coding. However, I recommend that beginners personally analyze the code on Git, understand the overall flow, and try implementing it themselves. To summarize, this is not a live-coding course but a conceptual one. It doesn't cover very basic introductory concepts; rather, it is a foundational architecture course focused on key issues and solutions that can arise during SNS development.