AI Code Guardian - Score how well your team guards AI-generated code

Problem:

Every team is shipping AI-generated code now. Copilot, Cursor, ChatGPT - developers

paste it, commit it, merge it.

But here's what we found: AI-generated code passes code review 40% faster - not

because it's better, but because reviewers trust it more than they should.

The result? More security holes, more PII leaks, more "convenience logging" that dumps

user data to Sentry.

The Solution:

We built a GitHub App that:

1. Detects AI-generated PRs for extra scrutiny

2. Scores every PR (Security, Performance, Quality, Tests)

3. Scores every reviewer - are they catching issues or rubber-stamping?

4. Flags PII egress risks that AI loves to introduce (logging req.body, missing tenant

filters, user data in analytics)

What makes us different:

1. CodeClimate scores complexity. We score AI code risk.

2. Snyk finds CVEs. We find the bugs AI introduces (prompt injection, over-collection,

missing org filters).

3. CodeRabbit reviews code. We score whether humans actually guard it.