AI-Generated Python Code Is Fast — But Is It Secure? | 30tools Blog

Over the past few months, I’ve been using AI tools (ChatGPT, Copilot, etc.) to generate Python code for small features and experiments.

It’s fast.
It’s convenient.
It often “looks correct.”

But I started noticing something uncomfortable.

A lot of AI-generated Python code includes patterns like:

SQL queries built with string concatenation

eval() used without restrictions

Direct file path concatenation

Hardcoded API keys

Unsafe os.system() usage

Nothing obviously broken.
But potentially insecure.

As someone experimenting with AI-assisted coding, I kept asking:

How do we quickly sanity-check AI-generated code before shipping it?

Manual review works — but it’s easy to miss things, especially for beginners.

So I built a small experiment called AICodeRisk.

It’s intentionally simple:

Paste Python code

It analyzes for common security vulnerabilities

Returns a structured JSON risk report

Includes severity, line numbers, and suggested fixes

No accounts.
No integrations.
Just paste → analyze → review.

This isn’t a product launch.
I’m validating whether this is even a real pain point.

I’m curious:

Do you trust AI-generated code by default?

Do you manually review everything?

Would you use a lightweight security sanity-check tool like this?

Or is this solving the wrong problem?

Brutal feedback welcome.