/ai-regression-testing
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted
Claude Code
$ npx -y skills add affaan-m/ECC --skill ai-regression-testing --agent claude-code
Codex
$ npx skills add affaan-m/ECC --skill ai-regression-testing -a codex -y
Cursor
$ npx skills add affaan-m/ECC --skill ai-regression-testing -a cursor -y
Gemini CLI
$ npx skills add affaan-m/ECC --skill ai-regression-testing -a gemini-cli -y
GitHub Copilot
$ npx skills add affaan-m/ECC --skill ai-regression-testing -a github-copilot -y
OpenCode
$ npx skills add affaan-m/ECC --skill ai-regression-testing -a opencode -y
Windsurf
$ npx skills add affaan-m/ECC --skill ai-regression-testing -a windsurf -y
SKILL.md
ai-regression-testing.SKILL.mdname: ai-regression-testing
description: Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.
metadata:
origin: ECC
AI Regression Testing
Testing patterns specifically designed for AI-assisted development, where the same model writes code and reviews it — creating systematic blind spots that only automated tests can catch.
When to Activate
- AI agent (Claude Code, Cursor, Codex) has modified API routes or backend logic
- A bug was found and fixed — need to prevent re-introduction
- Project has a sandbox/mock mode that can be leveraged for DB-free testing
- Running `/bug-check` or similar review commands after code changes
- Multiple code paths exist (sandbox vs production, feature flags, etc.)
The Core Problem
When an AI writes code and then reviews its own work, it carries the same assumptions into both steps. This creates a predictable failure pattern:
AI writes fix → AI reviews fix → AI says "looks correct" → Bug still exists
**Real-world example** (observed in production):
Fix 1: Added notification_settings to API response
→ Forgot to add it to the SELECT query
→ AI reviewed and missed it (same blind spot)
Fix 2: Added it to SELECT query
→ TypeScript build error (column not in generated types)
→ AI reviewed Fix 1 but didn't catch the SELECT issue
Fix 3: Changed to SELECT *
→ Fixed production path, forgot sandbox path
→ AI reviewed and missed it AGAIN (4th occurrence)
Fix 4: Test caught it instantly on first run PASS:
The pattern: **sandbox/production path inconsistency** is the #1 AI-introduced regression.
Sandbox-Mode API Testing
Most projects with AI-friendly architecture have a sandbox/mock mode. This is the key to fast, DB-free API testing.
Setup (Vitest + Next.js App Router)
// vitest.config.ts
import { defineConfig } from "vitest/config";
import path from "path";
export default defineConfig({
test: {
environment: "node",
globals: true,
include: ["__tests__/**/*.test.ts"],
setupFiles: ["__tests__/setup.ts"],
},
resolve: {
alias: {
"@": path.resolve(__dirname, "."),
},
},
});// __tests__/setup.ts
// Force sandbox mode — no database needed
process.env.SANDBOX_MODE = "true";
process.env.NEXT_PUBLIC_SUPABASE_URL = "";
process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY = "";
Test Helper for Next.js API Routes
// __tests__/helpers.ts
import { NextRequest } from "next/server";
export function createTestRequest(
url: string,
options?: {
method?: string;
body?: Record<string, unknown>;
headers?: Record<string, string>;
sandboxUserId?: string;
},
): NextRequest {
const { method = "GET", body, headers = {}, sandboxUserId } = options || {};
const fullUrl = url.startsWith("http") ? url : `http://localhost:3000${url}`;
const reqHeaders: Record<string, string> = { ...headers };
if (sandboxUserId) {
reqHeaders["x-sandbox-user-id"] = sandboxUserId;
}
const init: { method: string; headers: Record<string, string>; body?: string } = {
method,
headers: reqHeaders,
};
if (body) {
init.body = JSON.stringify(body);
reqHeaders["content-type"] = "application/json";
}
return new NextRequest(fullUrl, init);
}
export async function parseResponse(response: Response) {
const json = await response.json();
return { status: response.status, json };
}Writing Regression Tests
The key principle: **write tests for bugs that were found, not for code that works**.
// __tests__/api/user/profile.test.ts
import { describe, it, expect } from "vitest";
import { createTestRequest, parseResponse } from "../../helpers";
import { GET, PATCH } from "@/app/api/user/profile/route";
// Define the contract — what fields MUST be in the response
const REQUIRED_FIELDS = [
"id",
"email",
"full_name",
"phone",
"role",
"created_at",
"avatar_url",
"notification_settings", // ← Added after bug found it missing
];
describe("GET /api/user/profile", () => {
it("returns all required fields", async () => {
const req = createTestRequest("/api/user/profile");
const res = await GET(req);
const { status, json } = await parseResponse(res);
expect(status).toBe(200);
for (const field of REQUIRED_FIELDS) {
expect(json.data).toHaveProperty(field);
}
});
// Regression test — this exact bug was introduced by AI 4 times
it("notification_settings is not undefined (BUG-R1 regression)", async () => {
const req = createTestRequest("/api/user/profile");
const res = await GET(req);
const { json } = await parseResponse(res);
expect("notification_settings" in json.data).toBe(true);
const ns = json.data.notification_settings;
expect(ns === null || typeof ns === "object").toBe(true);
});
});Testing Sandbox/Production Parity
The most common AI regression: fixing production path but forgetting sandbox path (or vice versa).
// Test that sandbox responses match the expected contract
describe("GET /api/user/messages (conversation list)", () => {
it("includes partner_name in sandbox mode", async () => {
const req = createTestRequest("/api/user/messages", {
sandboxUserId: "user-001",
});
const res = await GET(req);
const { json } = await parseResponse(res);
// This caught a bug where partner_name was added
// to production path but not sandbox path
if (json.data.length > 0) {
for (const conv of json.data) {
expect("partner_name" in conv).toBe(true);
}
}
});
});Integrating Tests into Bug-Check Workflow
Custom Command Definition
<!-- .claude
Read more
name: ai-regression-testing description: Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change. metadata: origin: ECC
AI Regression Testing
Testing patterns specifically designed for AI-assisted development, where the same model writes code and reviews it — creating systematic blind spots that only automated tests can catch.
When to Activate
- AI agent (Claude Code, Cursor, Codex) has modified API routes or backend logic
- A bug was found and fixed — need to prevent re-introduction
- Project has a sandbox/mock mode that can be leveraged for DB-free testing
- Running `/bug-check` or similar review commands after code changes
- Multiple code paths exist (sandbox vs production, feature flags, etc.)
The Core Problem
When an AI writes code and then reviews its own work, it carries the same assumptions into both steps. This creates a predictable failure pattern:
AI writes fix → AI reviews fix → AI says "looks correct" → Bug still exists
**Real-world example** (observed in production):
Fix 1: Added notification_settings to API response → Forgot to add it to the SELECT query → AI reviewed and missed it (same blind spot) Fix 2: Added it to SELECT query → TypeScript build error (column not in generated types) → AI reviewed Fix 1 but didn't catch the SELECT issue Fix 3: Changed to SELECT * → Fixed production path, forgot sandbox path → AI reviewed and missed it AGAIN (4th occurrence) Fix 4: Test caught it instantly on first run PASS:
The pattern: **sandbox/production path inconsistency** is the #1 AI-introduced regression.
Sandbox-Mode API Testing
Most projects with AI-friendly architecture have a sandbox/mock mode. This is the key to fast, DB-free API testing.
Setup (Vitest + Next.js App Router)
// vitest.config.ts
import { defineConfig } from "vitest/config";
import path from "path";
export default defineConfig({
test: {
environment: "node",
globals: true,
include: ["__tests__/**/*.test.ts"],
setupFiles: ["__tests__/setup.ts"],
},
resolve: {
alias: {
"@": path.resolve(__dirname, "."),
},
},
});// __tests__/setup.ts // Force sandbox mode — no database needed process.env.SANDBOX_MODE = "true"; process.env.NEXT_PUBLIC_SUPABASE_URL = ""; process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY = "";
Test Helper for Next.js API Routes
// __tests__/helpers.ts
import { NextRequest } from "next/server";
export function createTestRequest(
url: string,
options?: {
method?: string;
body?: Record<string, unknown>;
headers?: Record<string, string>;
sandboxUserId?: string;
},
): NextRequest {
const { method = "GET", body, headers = {}, sandboxUserId } = options || {};
const fullUrl = url.startsWith("http") ? url : `http://localhost:3000${url}`;
const reqHeaders: Record<string, string> = { ...headers };
if (sandboxUserId) {
reqHeaders["x-sandbox-user-id"] = sandboxUserId;
}
const init: { method: string; headers: Record<string, string>; body?: string } = {
method,
headers: reqHeaders,
};
if (body) {
init.body = JSON.stringify(body);
reqHeaders["content-type"] = "application/json";
}
return new NextRequest(fullUrl, init);
}
export async function parseResponse(response: Response) {
const json = await response.json();
return { status: response.status, json };
}Writing Regression Tests
The key principle: **write tests for bugs that were found, not for code that works**.
// __tests__/api/user/profile.test.ts
import { describe, it, expect } from "vitest";
import { createTestRequest, parseResponse } from "../../helpers";
import { GET, PATCH } from "@/app/api/user/profile/route";
// Define the contract — what fields MUST be in the response
const REQUIRED_FIELDS = [
"id",
"email",
"full_name",
"phone",
"role",
"created_at",
"avatar_url",
"notification_settings", // ← Added after bug found it missing
];
describe("GET /api/user/profile", () => {
it("returns all required fields", async () => {
const req = createTestRequest("/api/user/profile");
const res = await GET(req);
const { status, json } = await parseResponse(res);
expect(status).toBe(200);
for (const field of REQUIRED_FIELDS) {
expect(json.data).toHaveProperty(field);
}
});
// Regression test — this exact bug was introduced by AI 4 times
it("notification_settings is not undefined (BUG-R1 regression)", async () => {
const req = createTestRequest("/api/user/profile");
const res = await GET(req);
const { json } = await parseResponse(res);
expect("notification_settings" in json.data).toBe(true);
const ns = json.data.notification_settings;
expect(ns === null || typeof ns === "object").toBe(true);
});
});Testing Sandbox/Production Parity
The most common AI regression: fixing production path but forgetting sandbox path (or vice versa).
// Test that sandbox responses match the expected contract
describe("GET /api/user/messages (conversation list)", () => {
it("includes partner_name in sandbox mode", async () => {
const req = createTestRequest("/api/user/messages", {
sandboxUserId: "user-001",
});
const res = await GET(req);
const { json } = await parseResponse(res);
// This caught a bug where partner_name was added
// to production path but not sandbox path
if (json.data.length > 0) {
for (const conv of json.data) {
expect("partner_name" in conv).toBe(true);
}
}
});
});Integrating Tests into Bug-Check Workflow
Custom Command Definition
<!-- .claude
Your agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills
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Questions about ai-regression-testing.
- Which coding agents can use ai-regression-testing?
- ai-regression-testing installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

