AI AGENT
Harness · Loop · Graph Engineering
Expand prompt-centered agent design into harness, loop, and graph structures to build more controllable systems.
Enrollment and payment take place on Inflearn.
- Listed entries
- 9 entries
- Video duration
- 5h 10m
- Provider update
- Course audio
- Korean
Check whether this course fits
- Who it is for
- For developers who need agents to execute and verify work beyond a single response.
- Before you start
- Basic programming, the ability to run code, and experience with AI coding tools such as Claude Code or Cursor.
- What you can do
- Design agent loops with execution and verification
- Connect roles and handoffs through graphs
Practice in the public curriculum
Put the topic into practice
Build a portfolio generation and review workflow with execution, verification, and role handoffs.
- Claude Code
- CLAUDE.md
- Skills
- Hooks
- MCP
Tool subscriptions and API usage may cost extra. Check the current terms for the tools you plan to use.
Curriculum overview
- Prompts and context
- Working environment and checks
- Execution loops
- Roles and graphs
Entry counts include materials and guidance. This overview groups the learning topics.
See the full curriculum and previews ↗Before you enroll
Where can I check price, access, and support?
Use the current Inflearn listing. Discounts, access duration, and question support vary by course.
Where should I start if I lack prerequisites?
Check the prerequisites and choose a starting point that matches your goal and experience. The free foundations course introduces the big picture of AI agents.
Find my starting coursePublic information checked: 2026-10-07 · Inflearn source ↗