Production Monitoring & Career Portfolio · 3 hours · Python · pytest · Hypothesis

Project: End-to-End Testing System

Build a complete end-to-end AI code testing system: TDD workflow + static analysis gauntlet + PBT suite + mutation testing pipeline + security gates + CI/CD quality gates + monitoring dashboard + prompt library. Deliverable: complete repository with documentation, runnable pipeline, and demo evaluation.

Real-world application: Building a complete end-to-end testing system demonstrates mastery of all AI code testing skills and the ability to integrate them into a cohesive framework.

What you will learn

Integrate all testing techniques from Phases 0-8 into a single end-to-end system
Build a complete repository with documentation, runnable pipeline, and demo evaluation
Demonstrate mastery of TDD, PBT, mutation testing, SAST, security gates, CI/CD, monitoring, and prompt libraries
Create a portfolio-ready project that showcases AI code testing expertise

Introduction

Project: End-to-End Testing System

Objective

Run the end-to-end testing system simulator with 9 components and 13 quality gates. Observe the 3-layer parallel pipeline execution, gate results (pass/warning/fail), component status, merge decision, pipeline execution diagram, repository structure, and deliverable checklist. Use this as a blueprint for building your own capstone project repository.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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