Zero to Hero — Programming to Multi-Agent AI

From Zero Code to Orchestrating AI Agents

A complete, interactive reference that takes you from never having written a line of code to supervising multi-agent AI coding systems. Each phase builds the judgment you need for the next. No shortcuts—every chapter exists because the later ones require it.

47 chapters10 phases120+ exercisesMarch 2026

Choose Your Phase

Phase 1

What Is Code?

Understand what code IS and how computers execute it—so you can read, evaluate, and direct AI-generated code. You can't supervise what you can't read.

Chapters 01–04 · Foundations
Phase 2

Writing Python

Working fluency in Python: functions, data structures, classes, files, and testing. Enough to read any function, write tests, and spot when AI-generated code has a subtle bug.

Chapters 05–09 · Python
Phase 3

Development Tools

Terminal, Git, and GitHub. The professional tools that Claude Code uses—and that you need to understand to supervise it.

Chapters 10–12 · Development Tools
Phase 4

Building & Deploying

APIs, Flask, databases, Docker, CI/CD, and professional project structure. From consuming software to building and shipping it.

Chapters 13–18 · Building & Deploying
Phase 5

Data Structures & Complexity

How data lives in memory: arrays, linked lists, hash tables, trees, and graphs. Big O notation and choosing the right structure for the job.

Chapters 19–23 · Data Structures & Complexity
Phase 6

Algorithms

Searching, sorting, recursion, and graph traversal. The algorithmic thinking that lets you evaluate whether AI-generated code is efficient.

Chapters 24–27 · Algorithms
Phase 7

Engineering Craft

Design patterns, database mastery, advanced testing, and code architecture. The professional practices that separate hobbyists from engineers.

Chapters 28–33 · Engineering Craft
Phase 8

Systems & Scale

System design, distributed architecture, networking, and performance. Understanding the systems that AI agents operate within.

Chapters 34–37 · Systems & Scale
Phase 9

AI-Assisted Development (Levels 1–5)

From evaluating AI output to custom skills and MCPs. The progression from "I can judge AI code" to "the AI has capabilities I've given it."

Chapters 38–42 · AI-Assisted Development
Phase 10

AI Orchestration (Levels 6–8)

Harness engineering, background agents, Claude Code in Docker, and autonomous agent teams. Return to this as your projects grow in complexity.

Chapters 43–47 · AI Orchestration
Reference

Appendices

Glossary, prompt library, and self-assessment quiz. Everything collected in one place.

Glossary · Prompt Library · Self-Assessment
Every chapter in Phases 1–8 exists to make Phases 9–10 possible. You need to understand functions because when Claude Code generates a 200-line function, you need to know whether it's doing what you asked. You need data structures and algorithms (Phases 5–6) because AI-generated code must be efficient. You need engineering craft and systems thinking (Phases 7–8) because agents operate within real architectures. You need Git, Docker, and APIs because Claude Code creates branches, runs in containers, and orchestrates services. There are no detours in this curriculum—only prerequisites.