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.
Hiring signal: 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
The Problem
You have 13+ quality gates from Phases 1-7. Running all of them on every commit is too slow and too expensive. This lesson covers the verification pyramid -- a layered model that determines what to run when, balancing cost and confidence.
The 6-Layer Verification Pyramid
┌───────────┐
│ Formal │ Release only
│ (Z3) │ Highest confidence, highest cost
└───────────┘
┌─────────────────┐
│ Security │ Every PR
│ (SAST+SCA+AI) │ High confidence, medium cost
└─────────────────┘
┌───────────────────────┐
│ Integration │ Every PR
│ (End-to-end tests) │ Medium confidence, medium cost
└───────────────────────┘
┌───────────────────────────────┐
│ Mutation Testing │ Nightly
│ (mutmut) │ High confidence, high cost
└───────────────────────────────┘
┌───────────────────────────────────────┐
│ Property-Based Testing │ Every commit
│ (Hypothesis) │ Medium confidence, low cost
└───────────────────────────────────────┘
┌───────────────────────────────────────────────┐
│ Unit Tests │ Every commit
│ (pytest) │ Low confidence, low cost
└───────────────────────────────────────────────┘
Unlock the full lesson
You've read the first 2 sections. The rest of this lesson covers Layer Details, Build It — plus a hands-on lab, quiz, and project artifact.
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