Phase 0: The AI Code Quality Crisis · 45 min · Python · pytest · Hypothesis

The Testing Mindset Shift

You are not writing expect statements. You are designing a verification strategy.

What you will learn

Explain why traditional testing is structurally insufficient for AI-generated code (3-4x commit rate, 10x security findings)
Describe the verification pyramid: unit -> property -> mutation -> integration -> security -> formal
Map each testing layer to the AI defect categories it catches
Apply the 'trust but verify' contract for AI code

Introduction

The Testing Mindset Shift

Objective

Use the verification pyramid tool to generate testing plans for different code types in an AI-generated codebase and produce a comprehensive verification strategy document.

You are not writing expect statements. You are designing a verification strategy.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

Create a free account — the opening phases of 29 of 35 courses are free, no credit card.