The AI Software Factory
Build autonomous coding pipelines, orchestrate code-first programmatic video generators, and navigate the architectural shifts driven by the Jevons paradox of cheap software.
Like Duolingo, but for The AI Software Factory. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.
18 levels across 3 sections, about 36 minutes end to end, roughly 7 days at five minutes a day. It moves through Autonomous Execution and Programmatic Media; Engineering the Software Factory; and Economics, Governance, and Post-Scarcity Code. It assumes you already know the basics.
Free forever · No credit card · iPhone & Android
Key ideas in The AI Software Factory
- Autonomous agents read files and inspect project structure before planning edits.
- Agent tools run shell commands and capture standard output directly.
- Execution feedback is fed back into the context window for the next turn.
- Deterministic signals like compiler errors break subjective hallucination loops.
- Feeding non-zero process exits back to an agent triggers immediate repair actions.
- Conversation prompts alone rarely correct confident agent delusions.
- Structured patch diffs prevent agents from truncating or corrupting large files.
- Sandboxed environments stop agent actions from altering the host machine.
- Restricting tool surfaces reduces the likelihood of catastrophic terminal errors.
- Long tool execution traces flood context windows and degrade agent reasoning.
- Atomic milestones allow deterministic verification before an agent advances.
- Frequent state commits preserve progress and isolate debugging context.
- Automatic git rollbacks restore clean state when agent modifications fail.
- Interrupt handlers pause loops when repeated tool failure cycles are detected.
- Explicit approval gates block unsafe tool calls before execution.
- Code-based video frameworks guarantee exact millisecond timing and fixed layout coordinate placement.
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 The AI Software Factory 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.
Picture an agent running automated tests. How does its tool interact with your operating system?
Get it right to open this lesson and 17 more in the app.
Where The AI Software Factory takes you
- 1
Autonomous Execution and Programmatic Media
- Driving the Autonomous Coding Loop
- Code-First Video via Generative Agents
- 2
Engineering the Software Factory
- Architecting Multi-Agent Production Lines
- Context Architecture at Repository Scale
- 3
Economics, Governance, and Post-Scarcity Code
- The Jevons Paradox of Software Production
- Lifecycle Management in Synthetic Codebases
3 sections · 6 units · 18 levels. Built to play, not to enroll.
Tomo is in ChatGPT
Tomo is also a ChatGPT plugin: the same playable courses, built and played inside your chat.
Add Tomo to ChatGPT- What to ask
- “Make me a Tomo course on black holes.” “Turn this chat into a Tomo course.”
- What you get
- Quick questions with instant feedback, hearts and stars, ready to play in about a minute.
- Where it goes
- No sign-up to start. Connect your Tomo account and your streak carries on in the app.
You pick the voice
The AI Software Factory is taught in the Storyteller style: every lesson is a story. 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.
More Technology on Tomo
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Building with Agentic Platforms
Move beyond basic prompting into full autonomous agent architectures. Learn how to bind tools, manage stateful graphs, orchestrate multi-agent swarms, and implement robust production guardrails.
Practical AI and Prompt Workflows
Move beyond conversational chat to use language models as analytical engines and structured workflow partners. Learn prompt architecture, token mechanics, schema extraction, and tool integration.
AI Agents at Work
Learn how AI agents move beyond simple conversation to solve problems, use external tools, and automate complex multi-step tasks on your behalf.
AI-Native Software Engineering
Transition from using AI as a chatbot to integrating it as a core architectural component. This course covers advanced agentic workflows, automated evaluation loops, and the shift toward non-deterministic system design.
Start The AI Software Factory today.
Download Tomo, search The AI Software Factory, and play your first lesson in under a minute.