โœจ Featured: 10 Patterns ChatGPT Uses When Writing Code (And How to Spot Them)

Does your code have
soul?

Detect if code was written by a human or an LLM.
No API keys. No BS. Just pure vibe analysis.

How It Works

Simple, fast, and transparent detection in 4 easy steps

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Paste Your Code

Drop in any code snippet from any language. Works best with at least 10 lines.

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Pattern Analysis

Our engine analyzes 5 key features: naming, repetition, comments, boilerplate, and creativity.

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Get Your Score

Receive an AI likelihood score (0-100%), detection signals, and a vibe summary.

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Share Results

Copy a shareable link or summary text to show off your results!

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Lightning Fast

Analysis completes in milliseconds. No waiting, no loading bars. Just instant vibes.

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100% Private

Your code never leaves your browser. No servers, no storage, no training data.

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Transparent Logic

See exactly which patterns triggered the detection. No black box magic.

About Vibe Code

A playful tool for detecting AI fingerprints in code

Why We Built This

In the age of ChatGPT and Copilot, we noticed code was starting to have a certain vibe. Generic variable names, overly explanatory comments, perfect formatting - the tells were there.

We built this tool to put a number on that feeling. Not for policing, but for fun, insight, and sparking conversations about how AI is changing the way we write code.

The Methodology

Generic Naming30%
Repetition25%
Comment Style20%
Boilerplate15%
Creativity10%

Key Features

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Instant Analysis

Results in milliseconds

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100% Private

Browser-only processing

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Transparent

See detection reasons

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Shareable

URL-encoded results

Important Disclaimer

This tool is for entertainment and insight only. Don't use it for hiring decisions, code reviews, or academic integrity checks. False positives and negatives are expected.

Frequently Asked Questions

Everything you need to know about Vibe Code Detector

Pattern matching and heuristics, not ML. Designed for fun and insight, not forensics. Think vibe check. Based on patterns we have observed in AI vs human code.
5 key features: (1) Generic naming like data/result, (2) Line repetition, (3) AI-style comments, (4) Framework boilerplate, (5) Creative naming. AI uses generic names, repetitive patterns, explanatory comments.
Yes! Patterns are language-agnostic. Works with Python, JavaScript, Go, Rust, etc. Best with 10+ lines of code.
Nope! Analysis happens in your browser using JavaScript. Code never leaves your device. No storage, no external APIs. Completely private.
Strongly advise against using for serious decisions like code reviews, hiring, or academic integrity. Fun tool for insights, not source of truth. False positives expected.
If you write very clean, methodical code with generic variable names and lots of comments, you might score higher. Some humans code like AI! Not bad - just means your style is systematic.
Not currently, but on v2 roadmap! Planning to add adjustable weights for each heuristic.
Planning GitHub repo analysis, URL analysis, code comparison tools, export to image, analysis history, and optional LLM-powered detection with your API key.

Want to learn more?

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