Vibe coding is the practice of building software by describing requirements to an AI model — such as ChatGPT, Claude, or GitHub Copilot — and accepting the generated code without deep review. The developer directs; the AI types. While it dramatically accelerates development speed, it often produces code with structural, semantic, and security weaknesses that accumulate as technical debt.

What is a VibeCode score?

A VibeCode score is VibeFix's proprietary metric that measures the AI signature density of a codebase on a 0–100% scale. Below 30% is classified as Pure Human, 30–50% as Augmented, 50–75% as Likely AI Generated, and above 75% as Synthetic. The score is calculated by the 24-point Neural DNA analysis engine.

How does VibeFix detect AI-generated code?

VibeFix detects AI-generated code using a four-phase pipeline: high-fidelity headless browser rendering, external asset enrichment, a 24-point Neural DNA analysis checking semantic density, class entropy, utility overload, error handling, content voice, and meta signals, then an AI strategic assessment layer producing the VibeCode score.

What is a good VibeCode score?

For production SaaS products, a VibeCode score below 40% (Augmented or Pure Human) is recommended. Scores above 75% (Synthetic) indicate heavy AI generation without quality controls and represent significant technical debt. VibeFix recommends all production deployments target a VibeCode score below 50%.

PR Guardian is VibeFix's automated GitHub pull request review bot. It runs the 24-point Neural DNA analysis on every incoming PR and posts the VibeCode score in the PR comments within 60 seconds. It can block merges for PRs exceeding a configured AI signature threshold. Available on the VibeFix Pro plan.

How is VibeFix different from SonarQube?

SonarQube detects bugs and code smells using predefined rules. VibeFix measures AI signature density using Neural DNA pattern analysis — detecting structural, semantic, and stylistic patterns that rule-based tools cannot see. VibeFix complements SonarQube: SonarQube for functional correctness, VibeFix for structural authenticity.

What is Neural DNA analysis?

Neural DNA analysis is VibeFix's 24-point forensic engine that detects AI pattern signatures in web code by measuring statistical distributions across class naming, DOM structure, CSS patterns, JavaScript logic, page copy, and meta signals — comparing them against known AI model output profiles to produce a VibeCode score.

How much does VibeFix cost?

VibeFix offers three plans: Hobby at $9/month (25 URL scans), Basic at $15/month (100 URL scans, PDF export), and Pro at $49/month (300 URL scans + 1,500 PR bot scans, PR Guardian, GitHub integration, API access). All plans require sign-up at vibefix.site.

Is vibe coding bad for production?

Vibe coding is not inherently bad, but unvetted vibe-coded code is a production risk. AI models generate code that runs but may lack semantic integrity, accessibility, robust error handling, and maintainability. VibeFix recommends running a Neural DNA analysis scan before every major production deployment.

Can VibeFix scan private GitHub repos?

VibeFix scans live public URLs. For private codebases, use a tunneling tool like ngrok for scanning, or use PR Guardian (Pro plan) which integrates directly with GitHub to analyze pull requests without requiring a public URL.

Is VibeFix useful for open source maintainers?

Yes, VibeFix is highly beneficial for open source maintainers and repository owners. The PR Guardian bot automatically reviews pull requests globally, identifying AI-generated code patterns and technical debt before it gets merged. This significantly reduces the manual review burden for open-source project maintainers worldwide.

04AI Detection

How to Detect ChatGPT-Generated Code in GitHub Pull Requests

July 7, 2026Updated July 27, 20268 min read0 viewsAyushman Tiwari

# How to Detect ChatGPT-Generated Code in GitHub Pull Requests Large language models like OpenAI's ChatGPT make software development faster, but pasting ChatGPT responses directly into your codebase introduces subtle code smells. In this guide, we examine key signatures of ChatGPT-written code and how to automatically audit PRs using VibeFix. --- ## 5 Common Tell-Tale Signs of ChatGPT Code ### 1. Overly Verbose & Defensive Boilerplate ChatGPT defaults to exhaustive error handling for unlikely edge cases while omitting clean abstraction primitives. ### 2. Predictable Utility Class Stacking In frontend code, ChatGPT tends to generate repetitive Tailwind class strings like `flex items-center justify-between p-4 rounded-lg shadow-md` across every single card component. ### 3. Generic Variable Naming Variables named `data`, `item`, `result`, or `container` frequently indicate unedited LLM copy-pastes. ### 4. Fragmented DOM Hierarchy Unnecessary wrapper `div` elements stacked 8-10 levels deep without semantic elements (`

`, `

`). ### 5. Inconsistent Architecture Patterns Mixed state management patterns within the same file caused by taking solutions from different ChatGPT prompts. --- ## Automated ChatGPT Code Detection with VibeFix Instead of spending hours manually reviewing PRs for AI signatures, VibeFix automates detection through its **PR Guardian GitHub App**: 1. **Install PR Guardian:** Connect your GitHub repo at [vibefix.app/github](https://vibefix.app/github). 2. **Automatic Inspection:** Every new PR receives an instant **Vibe Score** and breakdown of AI indicators. 3. **Automated Remediation:** Receive precise refactoring roadmaps to clean up ChatGPT slop before merging. Try scanning your site or repository URL today at [vibefix.app/vibe-check](https://vibefix.app/vibe-check).

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