Testing Framework & Continuous Execution · 40 min · pytest · Hypothesis · mutmut

The Verification Pyramid for AI Code

Unit every commit. Property every commit. Mutation nightly. Security every PR. Formal at release.

Real-world application: Engineers who can design a verification pyramid for AI code demonstrate testing architecture expertise.

What you will learn

Design the verification pyramid for AI code with 6 layers
Determine what to run when: commit, PR, nightly, release
Apply cost vs confidence tradeoffs for each verification layer
Map all tools from Phases 1-7 to pyramid layers

Introduction

The Verification Pyramid for AI Code

Objective

Run the verification pyramid simulator. Observe the 6-layer pyramid, execution schedule (commit, PR, nightly, release), cost-confidence analysis for 3 strategies (Full Pyramid, Unit Only, All on Every Commit), and the 'what to run when' guide. Compare cost-effectiveness of each strategy.

Unit every commit. Property every commit. Mutation nightly. Security every PR. Formal at release.

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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