Phase 4: Mutation Testing & Behavioral Verification · 90 min · mutmut · cosmic-ray · pytest
Project 2: Mutation Testing Pipeline
Build the pipeline. Enforce the score. Ship with confidence.
Real-world application: Engineers who can build a mutation testing CI pipeline that enforces >80% mutation score demonstrate the ability to create automated quality gates for AI-generated code.
What you will learn
- Build a mutation testing CI pipeline for an AI-generated codebase
- Enforce >80% mutation score as a CI gate
- Document all surviving mutants with kill/equivalent/timeout classification
- Generate a mutation report artifact for review
- Configure the pipeline to run both standard and AI-specific mutations
Introduction
Project 2: Mutation Testing Pipeline
Objective
Run the complete mutation testing CI pipeline on an AI-generated codebase. Observe the dual-gate approach (standard + AI-specific mutations), enforce >80% threshold for both, and generate a comprehensive mutation report with triage of surviving mutants.
Build the pipeline. Enforce the score. Ship with confidence.
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