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AI engineering tutorials for Claude Code and Codex
This repository packages YouTube tutorial material into a consistent project shape. The tutorials cover agent workflows, Codex, Claude Code, memory, testing, sandboxes, MCP, and related AI engineering patterns. Shared templates, verification files, and scripts keep the tutorial set structured and reproducible.
Builders who want worked examples for agent workflows, Codex, Claude Code, and practical AI engineering patterns.
You can copy a tutorial structure, run the examples, and adapt the patterns to your own agent workflow.
What it does
Shared tutorial format
Each tutorial uses a README, LESSON.md, code folder, and resources folder.
Tutorial catalog
The root list is generated from `tutorials/catalog.json` and shows all published tutorials.
Reusable templates
`tutorials/_templates/` holds lesson and slide templates for new tutorials.
Repo checks and verification
`just check` runs structural audits and tutorial verification checks.
Tutorial scaffolding
`just new-tutorial my-topic "My Tutorial Title"` creates a new tutorial from the standard shape.
How to get it
- 1Create a new tutorial with
just new-tutorial my-topic "My Tutorial Title"
- 2Run repository checks with
just check
- 3The root tutorial list is generated from tutorials/catalog.json. After changing catalog…
just update-tutorial-catalog
README
YouTube Tutorials
Code and examples from my YouTube channel tutorials.
Tutorials
Each tutorial uses the same public shape:
README.md- what the tutorial is and where to start.LESSON.md- the main teaching document.code/- runnable code, sample apps, fixtures, or setup files.resources/- prompts, slides, configs, references, images, and other loose assets.
32 published tutorials:
- 6 Types of RAG, Clearly Explained
- Agent Goals and Loops Explained Simply
- Claude Code Agent Teams
- AI Agent Memory Explained Simply
- How I Review AI-Generated Code
- AI Git Workflow
- My Autonomous AI Coding Workflow
- Background Agent Workers: A Pull-Based Architecture
- Codex Scheduled Tasks: Bug Scan and Bug Fix
- OpenAI Codex For Developers
- 7 Codex Skills I Use As An AI Engineer
- Set Up DeepSeek Harness
- Deploy AI Systems on Google Cloud With OpenAI Codex
- Docker Sandboxes for Developers
- GitHub AI Workflow
- Herdr: The Agent Multiplexer AI Developers Need
- How I'd Learn Software Engineering (When AI Writes the Code)
- Intent-Based Query Routing for RAG
- Linear as Your Agent's Control Plane
- Loop Engineering: A Practical Example
- Give Your AI Agents a Database (Airtable MCP)
- Micro Agents Demo
- Micro Neo
- Multica Turns Claude Code Into a Remote Teammate
- Nano Agent
- Nested subagents in Claude Code: one agent, one concern
- Harness Engineering: Building a Custom Pi Agent Workflow
- Pi Coding Agent (Full Course)
- PostgreSQL for RAG
- Spec-Driven Development
- Stop Vibe Coding: A Practical AI Development Workflow
- How I Test AI-Generated Code
Tutorial Standard
Use tutorials/TUTORIAL-STANDARD.md when turning video material into consistent public lessons and code samples.
Use tutorials/_templates for reusable lesson and slide templates.
Create a new tutorial with:
just new-tutorial my-topic "My Tutorial Title"
Run repository checks with:
just check
This runs the structural audits and the complete credential-free tutorial verification matrix. See tutorial verification for the classifications, commands, and tool requirements.
The root tutorial list is generated from
tutorials/catalog.json. After changing catalog
metadata, update the list with:
just update-tutorial-catalog
About
These tutorials explain practical AI engineering patterns. Some include runnable projects. Others contain focused snippets, templates, or infrastructure examples. The verification matrix states what each check proves.
License
This repository is licensed under the MIT License.
Go Deeper
To go deeper on AI engineering, join my AI engineering community: aiengineer.co.
Files in the repo
- .github
- scripts
- tutorials
- .gitignore
- AGENTS.md
- Justfile
- LICENSE
- README.md
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