aliteq.

Build with AI · Learn

Your AI wrote the app. Here's what it actually built.

For people building with Lovable, Bolt, Cursor or Replit. Each lesson lets you tap the real thing first (a request, a database row, a login token, a launch-day traffic spike), then names it. A few minutes each, a quick check at the end, no account. Start at track 0, or jump to the thing that's broken right now.

  1. 0What a computer actually does

    4/4 live

    What is running when I tap?

    1. 1. What is a program?
    2. 2. What is memory (RAM)?
    3. 3. What does a CPU do?
    4. 4. What is a file, really?

  2. 1The journey of a tap

    6/6 live

    What happens between my tap and the screen changing?

    1. 1. What is a URL?
    2. 2. What is DNS?
    3. 3. What is a request?
    4. 4. What is a server?
    5. 5. What is an API?
    6. 6. Frontend vs backend

  3. 2Where your data lives

    6/6 live

    Where do my users' details actually go?

    1. 1. What is a database?
    2. 2. Tables, rows and columns
    3. 3. What is a query?
    4. 4. Row Level Security, explained
    5. 5. What is Supabase?
    6. 6. Backups, and losing everything

  4. 3Who are you? (auth)

    5/5 live

    How does the app know it's me?

    1. 1. What is login, actually?
    2. 2. Passwords and hashing
    3. 3. Sessions and tokens
    4. 4. What is 'Sign in with Google'?
    5. 5. Authorization vs authentication

  5. 4Making it real

    6/6 live

    How does my preview link become a real product?

    1. 1. What 'deploy' actually means
    2. 2. Domains and HTTPS
    3. 3. Hosting, and what it costs
    4. 4. Environment variables and secrets
    5. 5. What is 'the cloud', really?
    6. 6. What is an edge / CDN?

  6. 5When it breaks

    6/6 live

    Why did it work yesterday?

    1. 1. What is an error log?
    2. 2. What is latency?
    3. 3. What is caching?
    4. 4. Queues and background jobs
    5. 5. What is scaling?
    6. 6. Rate limits, explained

  7. 6How the AI thinks

    9/9 live

    What is the model actually doing with my words?

    1. 1. What is a token?
    2. 2. What is a context window?
    3. 3. Why the AI 'forgot'
    4. 4. Attention, explained visually
    5. 5. Temperature and sampling
    6. 6. Why it invents a library that doesn't exist
    7. 7. What is a reasoning model?
    8. 8. What are tools and agents?
    9. 9. Local model vs API: what changes

  8. 7Talking to it well

    5/5 live

    How do I get what I actually meant?

    1. 1. Prompting is writing a spec
    2. 2. The verify loop
    3. 3. How to read AI code without coding
    4. 4. When to start over vs fix
    5. 5. Which model for which job

  9. 8Ship safely

    5/5 live

    How do I not get burned?

    1. 1. Before you share your app: the 6 checks
    2. 2. Row Level Security, explained
    3. 3. Your API keys are in the browser
    4. 4. Environment variables and secrets
    5. 5. The Moltbook lesson