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ai-regression-testing

Automate regression testing for AI-modified API routes and backend logic.

4|Updated Dec 5, 2025
Search Tags:#automation#testing#qa#ai#ci-cd#software-engineering#regression-testing
One-click install
npx skills add https://github.com/aaaa47080/stock_agent --skill ai-regression-testing-aaaa47080
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-regression-testing
Source: https://github.com/aaaa47080/stock_agent/tree/main/.opencode/skills/ai-regression-testing
Command: npx skills add https://github.com/aaaa47080/stock_agent --skill ai-regression-testing-aaaa47080

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates regression testing for AI-generated and reviewed code to prevent regressions and hidden bugs caused by self-referring AI loops.

Core Features & Use Cases

  • Automated test generation for AI-modified API routes and backend logic.
  • Reproducible test execution across sandbox and production-like environments with clear failure proofs.
  • Validation workflows to ensure AI changes meet expected behavior before deployment.

Quick Start

Run the regression-testing workflow on AI-modified code to validate fixes.

Frequently Asked Questions about ai-regression-testing

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

FAQPage Schema
How do I automate regression testing for AI-generated code?▼

Run a regression-testing workflow on AI-modified API routes and backend logic to automatically validate fixes, enforce deterministic test execution, and reproduce failures across sandbox and production-like environments.

How do I prevent regressions when AI agents modify backend logic?▼

Prevent regressions by enforcing deterministic test execution and reproducing failures with clear failure proofs in isolated sandbox and production-like environments before validating fixes for deployment.

Why does self-referring AI code review cause hidden bugs and how do I catch them?▼

Self-referring AI loops cause hidden bugs by bypassing deterministic validation. Catch them by applying a regression-testing workflow that enforces test harness guardrails, environment isolation, and traceable failure logging.

Can I run regression tests for AI-modified API routes in a sandbox environment?▼

Yes, you can execute regression tests for AI-modified API routes in a sandbox environment. The workflow supports reproducible test execution across sandbox and production-like environments to provide clear failure proofs.

What is the best way to validate AI code changes before deployment?▼

The best way to validate AI code changes before deployment is to use validation workflows that enforce deterministic test execution and reproduce failures with traceable logging and environment isolation.

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