Phase 1: Test-Driven AI Development · 90 min · Python · pytest · subprocess

Project 1: TDD Verification Pipeline for AI-Generated Code

The pipeline is the product. Specs in, verified code out.

What you will learn

Build a complete TDD verification pipeline: spec -> tests -> AI code generation -> verification -> iteration
Integrate AI coding assistants into an automated pipeline using subprocess or API calls
Handle iteration limits, failure cases, and timeout scenarios
Produce a working pipeline with 3 demo specifications and iteration logs

Introduction

Project 1: TDD Verification Pipeline for AI-Generated Code

Objective

Run the TDD verification pipeline on all 3 demo specifications, analyze the iteration logs, and extend the pipeline with a 4th specification of your choice.

The pipeline is the product. Specs in, verified code out.

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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