Phase 2: Static Analysis & Automated Gates · 55 min · Python · Ruff · Semgrep
Building the Automated Gauntlet
Green, yellow, red. The code never reaches a human until the gauntlet speaks.
Real-world application: Engineers who can compose lint + SAST + dependency scan + AI review into a pre-PR pipeline with green/yellow/red lanes demonstrate CI/CD engineering and quality gate design skills that teams using AI at scale need.
What you will learn
- Compose lint + SAST + dependency scan + AI review into a pre-PR pipeline
- Implement the green/yellow/red lane classification system
- Apply the 10-point AI code review checklist
- Design pipeline architecture with parallel and sequential execution stages
Introduction
Building the Automated Gauntlet
Objective
Run the automated gauntlet on 3 demo PRs, observe the green/yellow/red lane classification, and understand how the 70-point quality score and check results determine the lane.
Green, yellow, red. The code never reaches a human until the gauntlet speaks.
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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