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Interdisciplinary CurriculumCurriculum

Ship It

AI-Assisted Development. Build a rideshare app from scratch using Claude as your collaborator. Learn full-stack development—databases, authentication, real-time updates, maps—by shipping something real.

13 Units

2-4 hours per unit

What You Will Learn

Full-Stack Application

Build a complete rideshare app: Next.js frontend, Supabase backend, user authentication, real-time updates, and interactive maps.

AI Collaboration

Learn to work with Claude CLI as your coding partner. Describe what you want, iterate on the output, and ship working software.

Production Deployment

Every unit ends with deployment. Your app runs on the real internet with a URL you can share—not just on your laptop.

All Units

Hello Claude, Hello World, Hello Production

Meet your AI collaborator. Build something. Ship it to the internet. Today.

Build the landing page. Set up the professional development workflow.

Data Has to Live Somewhere

Add a database. Make your app remember things.

Replace hardcoded values with real input fields. Users type their destination.

Your Ride History

Read from the database. Display a list of past rides. The app now has memory you can see.

Add user accounts. Sign up, log in, see only your own rides. The app now knows who you are.

Two Sides of the Street

Add rider and driver roles. Drivers see requests and accept them. The two-sided marketplace emerges.

Watching It Happen

Add real-time updates. See changes instantly without refreshing. The app comes alive.

X Marks the Spot

Add maps and real locations. See pickup and dropoff on a map. The app becomes spatial.

When Things Go Wrong

Handle cancellations, timeouts, and errors. Make the app robust. Ship something real.

Testing Before Shipping

Write automated tests that catch bugs before users do. Learn the testing pyramid, set up Vitest, and build confidence to change code.

CI/CD and Beyond

Automate everything. Tests run on every push. Bad code can't reach production. Welcome to professional deployment.

Ethics of Data & AI: The Mirror, Not the Black Box

We often treat Artificial Intelligence as a 'Black Box'—a mysterious oracle that spits out truth. In this unit, we pry the box open. We'll discover that inside, there is no magic. There is only math, and massive amounts of human history, with all its brilliance and all its stains.

•Understand that AI models are mirrors of their training data, not objective arbiters of truth
•Analyze the 'Alignment Problem' through the lens of unintended consequences
•Evaluate the ethical implications of 'Black Box' decision making in social contexts

An open educational resource. Learn to build software by shipping real projects with AI assistance.