ai-regression-testing

Run sandbox-mode regression tests to prevent AI-induced code regressions.

86|21|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/Jamkris/everything-gemini-code --skill ai-regression-testing-jamkris
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-regression-testing
Source: https://github.com/Jamkris/everything-gemini-code/tree/main/skills/ai-regression-testing
Command: npx skills add https://github.com/Jamkris/everything-gemini-code --skill ai-regression-testing-jamkris

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-driven software development often redeploys fixes without robust regression checks, leading to recurring bugs when AI writes and reviews code. This skill provides sandbox-mode API testing, automated bug-check workflows, and pattern-based regression tests to catch blind spots and prevent reintroducing fixes.

Core Features & Use Cases

  • Sandbox-mode API testing without database dependencies to accelerate safe experimentation.
  • Automated bug-check workflow that enforces test-first validation and regression coverage.
  • Pattern-driven tests targeting AI blind spots where the same model writes and reviews code, ensuring parity between sandbox and production paths.
  • Real-world guidance for integrating regression tests into CI/CD to prevent regressions.

Quick Start

Run the sandbox regression suite to validate AI-generated code changes against production behavior.

Frequently Asked Questions about ai-regression-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent AI-induced regressions when an AI writes and reviews code?

Prevent AI-induced regressions by applying sandbox-mode testing and pattern-driven regression tests that target AI blind spots where the same model writes and reviews code. This enforces automated bug-checks and cross-path parity.

What is sandbox-mode API testing for regression checks?

Sandbox-mode API testing validates AI-generated code changes without database dependencies to accelerate safe experimentation. It runs pattern-based regression tests to ensure behavioral parity between sandbox and production paths.

How do I integrate automated bug-check workflows into CI/CD pipelines?

Integrate automated bug-check workflows into CI/CD by enforcing test-first validation and running regression suites across sandbox and production paths. This catches recurring bugs before AI-assisted code changes are redeployed.

Do I need a defined bug-check workflow to run regression tests on AI code?

Yes, you need a defined bug-check workflow, sandbox-mode testing enabled, and regression-test patterns. These components are required to cover AI blind spots and validate cross-path parity effectively.

What are the limitations of relying on the same AI model to write and review code?

Relying on the same AI model to write and review code creates blind spots where it fails to catch its own regressions. Pattern-driven tests are required to enforce cross-path parity and prevent recurring bugs.