AI Quality Gate FAQs

Question 1

How does AI Quality Gate enforce code quality?

Accepted Answer

It uses a hybrid, multi-phase approach: Phase 1 leverages ESLint (with over 627 rules) and Prettier for immediate feedback and extensive auto-fixing. Phase 2 optionally integrates SonarQube for deeper static analysis and security checks.

Question 2

What integrations and development environments does AI Quality Gate support?

Accepted Answer

It integrates with popular tools like ESLint, Prettier, and SonarQube. Designed as an MCP server, it's compatible with MCP-capable editors like Cursor, streamlining its use directly within your development workflow.

Question 3

What is AI Quality Gate and its primary purpose?

Accepted Answer

AI Quality Gate is a developer tool that automates comprehensive code quality checks specifically for AI-generated code. Its primary purpose is to ensure adherence to high coding standards by integrating linters, formatters, and static analysis tools.

Question 4

Does AI Quality Gate automatically fix code issues?

Accepted Answer

Yes, AI Quality Gate features extensive auto-fixing capabilities. It can automatically correct issues found by ESLint, fix Abstract Syntax Tree (AST) patterns, and apply code formatting, significantly reducing manual cleanup.

Question 5

Is AI Quality Gate configurable for different projects?

Accepted Answer

Absolutely. It offers highly configurable quality gates with project-specific settings, support for environment variables, and customizable rules via regex and JSON validation. An interactive CLI simplifies the setup of `.quality-gate.yaml` configurations.

AI Quality Gate

AI Quality Gate

Key Features

Use Cases

Key Features

Use Cases