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Learning, in the age of AI

Build real projects with AI at your side, and keep the hard parts that make skills stick.

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The shortcut and the path Jumping from a question straight to an answer skips every step in between. Walking the steps, with AI alongside, turns the answer into a skill. ask an agent, paste the answer explore build get stuck test explain question skill
Slower. And it stays with you.

Quests, not lectures

For a long time, lectures were the centre of a course. Now a clear explanation of almost anything is one question away, so we moved the centre to building. Each course is a path of quests. A quest is one real thing to build, with a clear definition of done.

  1. Read and watch
  2. Build
  3. Get tested
  4. Defend it
  5. Mastered

Tutor

Hints and explanations, never the answer. Replies in your language.

AI mode

Use coding agents freely. The tests and the defense still check that you understand it.

Build it yourself, with hints only. For the parts worth doing by hand.

Forum

Ask the group. AI joins a thread only when someone asks.

Mentors

People who check the close calls and notice when you're stuck.

Lectures still matter. We pick the right ones.

Every quest comes with a short, hand-picked list of lectures, articles, papers and docs. Each one says how long it takes and why it is worth your time, so you read and watch with a purpose.

A path through the noise

Every day brings a new model, a new tool, a new paper. It is easy to read about all of it and build nothing. A quest gives you one thing to do next, the few sources that matter for it, and a finish line.

Up nextQuest 3 of 6 · about 5 hours

Add a feature to an app someone else wrote

2 readingsHidden testsDefense

Build it. Break it. Explain it.

You learn by building something that has to work. Along the way you will get stuck, and some of it will fail. That is the part that teaches you. At every step you are also questioned: by tests, by a tutor, by an examiner and by people.

  1. Build
  2. Get stuck
  3. Ask the tutor
  4. Pass the tests
  5. Defend it
  6. Mastered

A tutor that won't do it for you

It knows your quest and your latest failing tests. It explains and gives hints, never the solution, and replies in your language.

Hidden tests

Your code runs in a sandbox against cases you haven't seen. You find out right away whether it really works, and when it doesn't, you fix it and run again.

An AI reviewer

It reads your code, your write-up and how you worked with your coding agent, then scores a short rubric and says what to improve.

The defense

An AI examiner asks about your code and choices. An agent can write code for you, but only you can explain it.

Tutor · Quest 3

My calendar shows the wrong week when I pass a Sunday.

Tutor

What does weekday() return for a Sunday? Try it in the shell, then look at how you find the Monday.

Hidden tests · sandbox
  • Shows the right week12 / 12
  • Members see "Busy", not names8 / 8
  • Bad dates don't crash the page3 / 3
  • The app's old tests still pass41 / 41

Fixed the date check. Running again…

All 4 suites pass

AI review
Exploring the app first80%
Working with your agent65%
The result90%

To improve: show your agent the failing test before asking for a fix.

Defense
Examiner

A member opens ?week= with a Sunday. Which days does your page show, and which line of your code decides that?

Monday to that Sunday. Line 18, where I subtract weekday() from the date.

Mastered

Mentors check the close calls. Borderline results and unsure grades go to a person, and every correction makes the AI graders better.

It comes back later. After you master a quest, short review questions return over the following weeks, so what you learned stays.

The first course:
Build and Ship an AI App

You learn two things side by side: how to build software with AI coding agents, and how to build AI features into software. It ends with your own AI app, live on the internet.

  1. 1
    Plan your app

    Decide what you'll build

    Decide what you'll build and ship at the end of the course.

    about 4 hours
  2. 2
    Work with a coding agent

    Pair with an agent: build a small Django app

    Build a small app with an agent, then add a real feature to an app someone else wrote.

    about 6 hours
  3. 3

    Add a feature to an existing app: a room calendar

    about 5 hours
  4. 4
    Add AI to the course app

    An AI assistant inside your app

    Give the app an AI assistant that answers from its data and documents, then open it to Claude and Codex.

    about 8 hours
  5. 5

    Add MCP support

    about 6 hours
  6. 6
    Capstone: your own AI app

    Build and ship your own AI app

    Build the app you planned, ship it on the internet, and show it.

    about 16 hours

Coming next: AI from Scratch. Build the parts of a model yourself, with the AI switched off.

You're not alone

Mentors

People who review the close calls and notice when you're stuck.

A forum

Ask the group. AI joins a thread only when someone asks it to.

Peers

People on the same quests, a step ahead of you or a step behind.

We're lucky to be living through this.

Moments like this don't come often. Tools that once needed big teams and big budgets now run on a laptop, and they get better every month.

One person with an idea and the skills to build it can now make something real: for their studies, their community, or a business of their own.

It is still early, and there is room for everyone who learns to build.

Whoever you are, there is a path.

Students

Learn to build real things, and understand how they work.

Founders

Ship AI products that work, and know why they work.

Engineers

Pick up the new way of working without losing the old skills.

Start building

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