Ju-Ho Yoon's honest review, [Up to 1,500 USD Credit Available] Core Principles and Scalable Development of Practical AI Agents with a Silicon Valley Developer course

I had been using agent tools like Claude Code, Codex, and Hermes quite comfortably, but I had no idea how they actually worked internally. However, after taking this course, the recommended usage methods for each agent started to make sense in a new way. I began to see the reasoning behind prompting methods, why responses sometimes become "dumb," the concepts of context and memory, why token usage was occasionally so high, and the actual flow of the tools and the famous "Loop" that agents use. After completing the section where we build an agent by hand, the tools I use daily felt completely different. While the experience of building an Agent AI from scratch was great, what resonated with me most was gaining an understanding of the principles behind the agents I currently use as tools, which gave me a sense of how to utilize them even better. In particular, the content regarding robustness—such as memory design, error handling, and behavioral guidelines—was a huge help in understanding why agents sometimes behave strangely in practice. I watched the entire course at 2x speed first to get a quick overview of the flow and then followed up with hands-on practice, which turned out to be the most effective method for me. Thank you for creating such a great course.

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