Harness•Loop•Graph Engineering - Five Stages of AI Agents Beyond Prompts
AI agents seemed vague, didn't they? We pass on problem-solving know-how from practical experience, covering everything from prompts to loops and graph engineering systems.
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Level Basic
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Hello, students.
I have newly added the following two lectures.
<Section 3>
5. Summary of Harness Concepts for Practice (20:53)
6. Working through the Portfolio Creation/Review Harness System step-by-step (21:14)
This is a hands-on exercise where you will actually build the CLAUDE.md, Skills, Sub-agents, Hooks, and MCP you have learned so far, step-by-step, into a single project ("AI Portfolio Creation/Review Harness System").
In Lecture 5, we summarize why they must be stacked in this specific order and what falls apart if one element is missing. In Lecture 6, we have organized a step-by-step hands-on session where you can follow along by opening practice files ranging from step0 (base state) to step5 (completed state).
I have prepared this as a final practice session to tie all the concepts together and apply them to real-world tasks, so please use it as a reference.
Hello, this is Code Bridge.
I have added one more practice video to the Graph Engineering section.
Location: Part 3 · Practical Design, Last Lecture
Length: Around 32 minutes
Existing students can watch it immediately without any additional payment.
You can watch it at your convenience when you have time. It's not a mandatory watch :)

