Study AI Engineering
Description
This repository is a structured knowledge base for studying AI Engineering, focusing on Harness, Loop, and Graph Engineering. It explores modern coding agents like Claude Code, covering agent architecture, context engineering, orchestration, practical implementations, GitHub projects, real-world scenarios, comparisons, and research notes.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Study AI Engineering
This repository contains research notes on Harness Engineering, Loop Engineering, and Graph Engineering with a focus on Claude Code implementation.
Structure
- 00 - MOC: Maps of Content
- 01 - Foundations: Core concepts
- 02 - Harness Engineering
- 03 - Loop Engineering
- 04 - Graph Engineering
- 05 - Claude Code: Implementation notes
- 06 - GitHub Repositories: Analyses of relevant repositories
- 07 - Practical Examples
- 08 - Comparisons
- 09 - Scenarios
- 10 - Sources: Glossary, roadmap, etc.
Usage
Open this folder in Obsidian to navigate the knowledge base.
License
MIT
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