GitHub Repository

ESLint for AI slop. Detect AI-generated code smells in your JS/TS and Python codebase.

15 starsTypeScript

Vibecheck – lint for AI-generated code smells (JS/TS/Python)

Name: Vibecheck – lint for AI-generated code smells (JS/TS/Python)
Availability: InStock
Author: yuvrajangads

by yuvrajangads·Mar 16, 2026·7 points·4 comments

Visit Project View on HN

AI Analysis

●●SolidSolve My ProblemShip It

Catches AI code smells ESLint misses: empty catches, hardcoded secrets, god functions.

Strengths

•24 specific rules targeting AI patterns, not generic linting
•Standalone binaries via Bun mean no Node dependency for Python teams
•GitHub Action integration for inline PR annotations

Weaknesses

•Regex-based detection will miss semantic issues and context-aware problems
•Crowded linting space with CodeRabbit, Sonar, and ESLint plugins already here

Post Description

I built a CLI that detects patterns AI coding tools leave behind: empty catch blocks, hardcoded secrets, as any everywhere, comments that restate the code, god functions, SQL concatenation.

24 rules across JS/TS and Python. Zero config, runs offline, regex-based so it's fast.

npx @yuvrajangadsingh/vibecheck .

Also ships as a GitHub Action for inline PR annotations and standalone binaries (no Node required).

Why: CodeRabbit found AI-generated PRs have 1.7x more issues than human PRs. Veracode says 45% of AI code samples have security vulnerabilities. "Vibe coding" is everywhere now but nobody's linting for the patterns it produces.

This isn't a replacement for ESLint. It catches things ESLint doesn't look for, like catch blocks that only console.error without rethrowing, bare except: pass in Python, or mutable default arguments.