AI-Tools-For-Learning

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AI-Tools-For-Learning

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A set of AI tools for learning programming

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- AGENTS.md
- PLAN.md
- AGENTS.md
- PLAN.md
- AGENTS.md
- PLAN.md
- AGENTS.md
- PLAN.md
- AGENTS.md
- PLAN.md
- AGENTS.md
- PLAN.md
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Courses that your AI assistant teaches you.

This repository contains **no lessons**. Each course is a plan that tells an AI what to teach, in
what order, and how — the explanations, examples, exercises, and projects are generated for you as
you go. Nothing here can go out of date, and the pace adapts to you.

You never open these files. You just talk to your assistant.

## Courses

| Folder | Course |
|--------|--------|
| [`python/`](python/) | Python, from zero to professional — 24 modules, an exam, and a capstone project |
| [`java/`](java/) | Core Java, from zero to professional — 25 modules, an exam, and a capstone project |
| [`js/`](js/) | JavaScript, from zero to professional — 25 modules, an exam, and a capstone project |
| [`sql/`](sql/) | SQL with PostgreSQL, from zero to professional — 23 modules, an exam, and a capstone project |
| [`git/`](git/) | Git & GitHub, from zero to professional — 21 modules, an exam, and a collaboration capstone |
| [`csharp/`](csharp/) | C# & .NET, from zero to professional — 25 modules, an exam, and a capstone project |

More will be added over time.

## Getting started

**1. Get an AI assistant that can read and write files.**

This matters: a plain chat window can't save your progress, so it will forget everything between
sessions. You need a coding assistant that works inside a folder on your computer — for example
[Claude Code](https://claude.com/claude-code), [Codex](https://openai.com/codex),
[Cursor](https://cursor.com), [Gemini CLI](https://github.com/google-gemini/gemini-cli), or
[Zed](https://zed.dev). Any of them works. Install one and follow its own setup instructions first.

**2. Get these files onto your computer.**

If you don't use Git: click the green **Code** button at the top of this page, choose **Download
ZIP**, and unzip it somewhere you'll remember. Otherwise:

```
git clone https://github.com/KubiKDB/AI-Tools-For-Learning.git
```

**3. Open the course folder in your assistant.**

Open the folder of the course you picked — one of the folders in the table above — *inside* what
you downloaded, not the folder above it. The examples below use `python`; substitute whichever
course you're taking.

*If your assistant runs in a terminal* (Claude Code, Codex, Gemini CLI) — open the Terminal app
(macOS: press Cmd+Space and type "Terminal"; Windows: open the Start menu and type "Terminal"),
then type `cd` followed by a space, drag the course folder from Finder or File Explorer onto the
terminal window — that pastes the path for you — and press Enter. Then type the command that starts
your assistant. The whole thing looks like this:

```
cd /Users/yourname/Downloads/study-plans-main/python
claude
```

*If your assistant is a code editor* (Cursor, Zed, VS Code) — choose **File → Open Folder**, select
the course folder, and open the assistant's chat panel.

Either way, the test is the same: your assistant should be looking at a folder that contains
`PLAN.md` and `AGENTS.md`. If it isn't, it won't know what to teach.

**4. Tell it to start.** Copy this message in, exactly:

> Read AGENTS.md and follow it. Start the course.

Naming the file matters. Some assistants pick up instruction files on their own and some don't, so
if you just say "hi" you'll get an ordinary chatbot instead of a teacher. Pointing at the file
works everywhere.

The first time, your assistant will probably ask permission to read and write files in that folder.
Allow it — it can't teach the course or save your progress otherwise.

That's the entire setup. It reads the plan, creates what it needs, and begins.

**Every session after that**, open the same folder the same way and say:

> Read AGENTS.md and continue the course.

It picks up exactly where you stopped and tells you what you're doing today. You never need to
remember which module you were on.

## Your side of it

The assistant handles the teaching, the tracking, and deciding what comes next. Three things are
on you:

- **Write the code yourself.** Your assistant is instructed not to solve exercises for you, and to
  give hints instead of answers. That's deliberate. Push past the stuck feeling — that's the part
  where the learning happens.
- **Answer its questions honestly.** It adapts to what you actually understand. Bluffing gets you a
  course that's too hard.
- **Keep the folder.** Your progress lives in it.

## Keeping your progress safe

Everything you've done is stored in the course folder — your code, and a `PROGRESS.md` file the
assistant maintains. Back it up like anything else you care about: copy it to cloud storage, or if
you know Git, commit and push to your own private fork.

You can switch assistants whenever you like. A different AI reading the same folder picks up where
the last one left off.

## If something goes wrong

**It answered like a normal chatbot instead of starting the course.** It hasn't read its
instructions. Say: *"Read the file AGENTS.md in this folder and follow it. Start the course."* If it
says it can't find the file, it's looking at the wrong folder — go back to step 3.

**It's writing your code for you, or handing out answers.** Say: *"Re-read AGENTS.md and follow it —
don't solve exercises for me."*

**It lost track of where you were.** Say: *"Read PROGRESS.md and continue from there."*

**It's moving too fast, or too slowly.** Just tell it. It's meant to adjust, and it will remember.

---

If this is working for you, **star the repository** — it's how other people find it, and it tells us
the project is worth expanding.

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