ChuprinaDaria

Not another AI reviewing AI. Rust-powered code scanner that actually reads your codebase — zero extra tokens consumed. 29 MCP tools: security vulns, dead code, health checks, save points, frozen files. Finds problems. Farts at you. Hasselhoff approves.

12
0
100% credibility
Found Apr 20, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Fartrun is a local desktop tool that scans AI-generated code projects for security vulnerabilities, code health issues, and provides protective features like save points and file freezing, with humorous audio notifications.

How It Works

1
🔍 Discover Fartrun

You hear about Fartrun, a fun safety checker for code made by AI helpers, that spots problems before they cause trouble.

2
📥 Easy Setup

With one simple command or download, you get Fartrun ready on your computer, working on Windows, Mac, or Linux.

3
🚀 Scan Your Project

Point Fartrun at your project folder, and it quickly checks everything for security risks, dead parts, and health issues—all locally on your machine.

4
📊 Review Fun Results

You get a clear report with findings, plus silly sounds or motivational tunes to grab your attention without sending code anywhere.

5
🛡️ Protect Key Files

Mark important files as frozen to prevent accidental changes, or create save points to roll back if needed.

6
🔧 Fix with AI Help

Use the ready-made report in your AI coding tool to get smart suggestions and clean up the issues easily.

Safe and Sound Code

Your project is now healthy, secure, and ready to use, with no surprises waiting to embarrass you.

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Star Growth

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AI-Generated Review

What is Vibecode-Cleaner-Fartrun?

Vibecode-Cleaner-Fartrun is a local code scanner that audits your projects for security vulns, dead code, tech debt, missing tests, and git hygiene—actually reading the full codebase without cloud uploads or token costs. Installed via npm as a JavaScript package with Rust-powered binaries, it offers 29 MCP tools for Claude Code, Cursor, and Windsurf, plus CLI commands like `fartrun scan` for markdown reports, save points, and frozen files to block risky edits. It even plays fart sounds for alerts and generates Hasselhoff-motivated fixes.

Why is it gaining traction?

It stands out by running everything locally—no telemetry, no APIs—with 95%+ accuracy on stacks like TypeScript/React, Python/FastAPI, and Go, using fast AST parsing for thousands of files. Developers dig the MCP integration for seamless AI workflows, token spend tracking, and gimmicks like escalating nag messages or auditory feedback when reviewing another engineer's work. Not another word for reviewing a document; this one farts at real issues like exposed env vars.

Who should use this?

AI-assisted coders in Claude Code or Cursor reviewing AI-generated code on React/Next.js, FastAPI, or Django projects, especially when spotting dead functions or supply chain risks. Teams adding another GitHub account to VSCode or handling git history leaks will like the MCP setup and rollback save points. Solo devs auditing another word for reviewing data locally, without cloud dependencies.

Verdict

Early days with 12 stars and 1.0% credibility—solid wiki docs but unproven at scale, no visible tests. Try it for MCP fun in AI editors; skip for production until stars climb.

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