Phase 2: Static Analysis & Automated Gates · 55 min · Python · GitHub Actions · Ruff

Configuring Quality Gates

The threshold is not a number. It's a decision about how much risk you accept.

Real-world application: Engineers who can configure quality gates with the 70-point rubric, composite confidence scoring, and blocking vs advisory thresholds demonstrate the ability to set quality standards that scale across teams using AI at 3-4x commit velocity.

What you will learn

Apply the 70-point quality rubric across 7 scoring categories
Configure blocking vs advisory gates with appropriate thresholds
Implement composite confidence scoring combining multiple check results
Design the ai-quality-gate-V2 7-job CI pipeline

Introduction

Configuring Quality Gates

Objective

Run the quality gate pipeline on 3 demo PRs with configurable thresholds, observe how the 70-point rubric and composite confidence scoring determine green/yellow/red lane classification.

The threshold is not a number. It's a decision about how much risk you accept.

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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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