AI Native Engineering
Like Duolingo, but for AI Native Engineering. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.
For the part of you with thirty open tabs that never became anything.
Free forever · No credit card · iPhone & Android
Key ideas in AI Native Engineering
- AI models perform better when given a clear role (the 'who')
- Describing the desired outcome (the 'what') allows the AI to choose the best code structure
- Beginners should avoid guessing technical steps (the 'how') which can lead to broken logic
- The ability to prioritize outcomes and personas over technical instructions
- Starting with a single 'clickable' element (like one button or one input) prevents the AI from getting overwhelmed
- Small wins build the momentum needed to add complex features later
- A 'prototype' doesn't need to be finished; it just needs to do one thing you can see and touch
- Choosing a small enough starting point to ensure the first build succeeds
- AI can translate plain-English 'business logic' into working code
- The AI understands context and intent better than rigid syntax
- The AI chat is the 'factory' but the preview tool is the 'screen'
- The loop must be fast to catch errors early
- You don't need to save files locally to see a prototype work
- The workflow for testing and seeing AI-generated code
- The AI can act as a bridge between the code and the user's understanding
- Understanding that business rules can be written in plain English
You've tried the other tabs
Thirty open tabs. Four facts you actually kept.
You watched. You nodded. By Sunday it was gone.
One answer, then back to scrolling.
Eight weeks. You meant to finish. You didn't.
Tomo gives AI Native Engineering the Duolingo treatment: levels, streaks, and quick quizzes that test what you just learned. That game loop is what the tabs above never had, so it's the one you actually finish.
Here's what playing it feels like
A real question from this course. Take your best guess.
When prompting, what is the most effective thing for a beginner to describe to the AI?
Get it right to open this lesson and 85 more in the app.
Where AI Native Engineering takes you
Build professional software from scratch using AI agents, even if you've never written a line of code. Learn to think like an architect and use the machine as your master craftsman.
- 1
Your First App in Minutes
- Prompting Your First Prototype
- 2
The Engineer's Mental Model
- Decomposing Big Problems
- Thinking in Systems
- 3
The Building Blocks of Logic
- Data and Nouns
- Control Flow and Verbs
- 4
Collaborating with AI Agents
- Writing Technical Specifications
- Using AI as a Code Interpreter
- 5
Structuring the Solution
- Frontend: The User's World
- Backend: The Hidden Engine
- Databases: The App's Memory
- 6
The Quality Loop
- Debugging with AI
- Testing for Reliability
- Handling Errors Gracefully
- 7
Modern Tools & Environments
- The AI-Powered Editor
- Version Control with Git
- Deploying to the Web
- 8
Advanced AI Patterns
- RAG and Custom Data
- Connecting to the World (APIs)
- Multi-Agent Workflows
- 9
The Professional Mindset
- Security for AI Engineers
- Performance and Optimization
- How LLMs Write Code
9 sections · 22 units · 86 levels. Built to play, not to enroll.
You pick the voice
AI Native Engineering is taught in the The Professor style: clear, structured, thorough. Want a different feel? In the app you can spin up the same topic in any of Tomo's teaching styles. Same facts, totally different vibe.
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Start AI Native Engineering today.
Download Tomo, search AI Native Engineering, and play your first lesson in under a minute.