Phase 1: Test-Driven AI Development · 50 min · Python · pytest · Hypothesis

The AI TDD Loop: Spec, Test, Generate, Verify, Iterate

The loop is the product. Each iteration removes a defect.

Real-world application: Engineers who can execute the AI TDD loop -- spec, test, generate, verify, iterate -- demonstrate a repeatable workflow for producing verified AI code. This is the day-to-day practice that separates engineers who use AI assistants from engineers who ship reliable AI-generated code.

What you will learn

Execute the 6-step AI TDD loop: spec, test, generate, verify, iterate, add edge cases
Feed test failures back to the AI for targeted fixes
Handle iteration limits and failure cases gracefully
Recognize when the AI is stuck in a loop and escalate to manual intervention

Introduction

The AI TDD Loop: Spec, Test, Generate, Verify, Iterate

Objective

Execute the full 6-step AI TDD loop on a function of your choice, tracking iterations, detecting regressions, and producing a loop report with escalation analysis.

The loop is the product. Each iteration removes a defect.

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.

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