Phase 2 — Specify with Types

Chapters 34, 35, 36, 37: Types as the Language of Intent

Your role: Specifier — "I can tell AI precisely what to build"

AI output is only as good as your specification. Phase 2 teaches you to specify with precision — using Python's type system as the vocabulary you give to AI before it writes a single line. You learn primitive types and expressions, typed collections (lists, dictionaries, tuples, sets), data models for structuring real domains, and function signatures as contracts. By the end, you can write a type-annotated specification that tells AI exactly what to build — no ambiguity, no guessing.

#	Chapter	Key Focus
34	Primitive Types and Expressions	The building blocks of typed specifications
35	Collections — Lists, Dicts, Tuples, Sets	Structured data for real domains
36	Data Models — Dataclasses and Pydantic	Modeling your domain precisely
37	Functions as Contracts	Function signatures as specification language