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.