Phase 6: Quality Gates & CI/CD for AI Code · 45 min · Claude Code · GitHub Actions · Python

The Pre-PR Pipeline

A human reviewing every AI-generated PR from scratch doesn't scale. An automated pipeline that runs before the human does.

Real-world application: Describing a green/yellow/red lane system for AI-generated PRs, backed by a real automated pipeline, is concrete evidence you've built the quality-gate infrastructure a team actually needs at AI-assisted volume.

What you will learn

Explain why AI-generated PR volume requires automated review before a human ever sees the diff
Compose lint, SAST, and dependency scanning into one pre-PR pipeline
Classify a PR into a green/yellow/red lane based on which checks it passed or failed
Apply a structured, multi-dimension quality rubric instead of a single pass/fail judgment

Introduction

The Pre-PR Pipeline

Objective

Compose real lint, SAST-lite, and dependency checks into one pipeline producing a green/yellow/red verdict driven by the most severe finding.

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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