I've been scanning AI-generated codebases for the past month. Here are 5 patterns that appear most often and slip past every standard tool.
1. MISSING_WRITE — The function that saves nothing
def save_payment(payment_data: dict) -> dict:
validated = validate(payment_data)
return {"status": "saved", "id": generate_id()}
# No INSERT. No UPDATE. Payment gone.
2. FAKE_ASYNC — async with zero awaits
async def fetch_orders(user_id: str) -> list:
conn = psycopg2.connect(DATABASE_URL) # blocking — defeats async entirely
return conn.execute("SELECT * FROM orders WHERE user_id = %s", [user_id]).fetchall()
3. INPUT_OUTPUT_DISCONNECTED — Parameters that don't affect output
def calculate_discount(user_id: str, purchase_amount: float) -> float:
return 0.10 # always 10%, inputs ignored
4. DEAD_CALL_RESULT — Module results that are ignored
def process_order(order_id: str) -> dict:
validate_order(order_id) # result ignored
check_inventory(order_id) # result ignored — out of stock? doesn't matter
reserve_items(order_id) # result ignored
return {"status": "processing"}
5. STUB_SKELETON — Returns True for everything
def authenticate_user(username: str, password: str) -> bool:
return True # everyone is authenticated
Scan for all of these
curl -X POST https://pleasing-transformation-production-90c2.up.railway.app/v1/scan \
-H "X-API-Key: vg_free_test" \
-F "file=@your_file.py"
48 patterns, 9 languages. GitHub Action: Moonsehwan/aina-vibeguard-action@v1
Which of these have you seen in your own codebase?
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