ai-regression-testing

Automate regression tests to detect AI-induced bugs in codebases.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/KanakMalpani/General-Private-Skills --skill ai-regression-testing-kanakmalpani
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-regression-testing
Source: https://github.com/KanakMalpani/General-Private-Skills/tree/main/skills/ai-regression-testing
Command: npx skills add https://github.com/KanakMalpani/General-Private-Skills --skill ai-regression-testing-kanakmalpani

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Regression testing patterns for AI-assisted development that reveal blind spots created when the same model writes and reviews code.

Core Features & Use Cases

  • Sandbox-mode API testing to enable DB-free test runs.
  • Automated bug-check workflows to surface regressions across AI-generated changes.
  • Guidance on writing regression tests that prevent AI self-review regressions.

Quick Start

Run the AI regression test suite against your codebase to detect and prevent repeated AI-induced regressions.

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-generated code changes from reintroducing bugs?

To prevent AI-generated code changes from reintroducing bugs, you can automate regression tests that verify AI edits across APIs and services. This approach surfaces regression risks created when the same AI model writes and reviews code.

How do I run automated regression tests without a live database?

You can run automated regression tests without a live database by setting up sandbox-mode API testing. This enables DB-free test runs to surface bugs across AI-generated changes in your codebase.

Why do AI-assisted edits create blind spots during code review?

AI-assisted edits create blind spots because the same AI model that writes the code often reviews it, leading to self-review regressions. Structured regression testing patterns are needed to catch these specific spots.

What is the best way to structure regression tests for multiple deployment paths?

The best way to structure regression tests for multiple deployment paths is to apply structured testing patterns with sandbox testing setups. This ensures AI-generated edits across various APIs and services are verified against regressions.

Can I use sandbox testing to check AI-induced regressions across services?

Yes, you can use sandbox testing to check AI-induced regressions across services. The process provides structured patterns and sandbox testing setup to generate regression tests for projects with multiple deployment paths.

Do I need mock modes to run AI regression tests on my codebase?

Yes, mock modes are needed to run AI regression tests on your codebase. The testing patterns apply to projects with sandbox or mock modes to enable DB-free test runs and verify AI-generated changes.