Pre-PR Review Filter
Before AI Code Reaches Review,Make It Quiet Enough To Trust.
A first-pass sanity check for AI-generated PRs: catch noisy false positives, fake APIs, security footguns, and obvious review blockers before a human spends attention.
example.py
import requests
def fetch_data(url):
return requests.get(url)
# AI hallucination detected:
# requests v3.0 has no .get()Core Capabilities
Focused checks for the handoff between AI-written code and human review
$ checkaicode scan
CRITICALFake API endpoint detected
WARNINGDeprecated import
INFOMissing type annotation
Does that function even exist?
Spot fake APIs and non-existent imports your AI invented.
Will this break in production?
Catch breaking changes across framework updates before they become incidents.
package.json
"react": "^18.2.0"
"react": "19.0.0-beta"
Breaking change: useId() signature changed in v19
Security Scan Complete
Security Score92/100
Is your secret exposed?
Find hardcoded keys, injection vulnerabilities, and unsafe patterns instantly.
Protect reviewer attention before the PR.
One quiet pre-review scan can remove obvious AI-code mistakes before a human spends trust on them.
Run a Free Sanity Check