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The Standard of Claude Code: Practical Agentic Engineering

This will be the definitive guide to Claude Code. This course dives deep into how and why Claude Code works, teaches you how to directly apply the components of harness engineering, and even dissects actual production code. Take the know-how of a developer with over 10 years of experience and transform into a key talent in the era of AI agents.

(5.0) 24 reviews

193 learners

Level Intermediate

Course period Unlimited

Java
Java
Spring
Spring
software-design
software-design
AI
AI
AI Agent
AI Agent
Java
Java
Spring
Spring
software-design
software-design
AI
AI
AI Agent
AI Agent

[Practical Tips] EP.01 How do you use Dynamic Workflows?

Hello, the first series of Claude Code practical tips lectures has been updated!

It is about using Dynamic Workflows, and I have summarized how they can be used in practice.

I have included the best ways to use it, based on weeks of extensive testing in the field and spending a significant amount of money and tokens.

스크린샷 2026-06-27 오전 12.06.21.png.webp

Have you ever experienced something like this? You ask to scan an entire codebase or give a massive task involving hundreds of files, and it starts off well, but at some point, it loses steam and says "I'm done" after only finishing about half. That’s not because Claude is lacking; it's because the task was simply too large to be handled in a single conversation.

Dynamic Workflows is a feature that takes that large task, breaks it down into small pieces using scripts Claude writes on the fly, and distributes them across dozens or even hundreds of agents. To put it in one sentence - "Turning plans into code."

However, there is one major misunderstanding that must be cleared up first.

It is easy to perceive Dynamic Workflows as a "feature that launches a massive number of agents." However, launching a hundred or a thousand agents does not necessarily improve the results. The number is not the core issue.

What really matters is how you structure that workflow. Even for the same task, the reliability of the results varies completely depending on how you break it down, what sequence you flow it through, and whom you entrust with the verification.

The point is this: the value of a workflow lies not in the number of agents, but in the ability to enforce procedures that produce reliable results through code.

I have updated two lectures where you can engage in both theory and practice. Please give them a listen and try applying them to your actual work :)

스크린샷 2026-06-27 오전 12.01.55.png.webp

I also plan to update additional content regarding this dynamic workflow in the future.

I will be rooting for your learning journey.

I will be back with more helpful news next time.

Thank you.

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