AI Code Detection by Language & Framework
Every programming language has distinct AI pattern signatures and synthetic code smells. Choose your stack below to explore tailored Neural DNA analysis and PR review rules.
Next.js
Detect unhandled async boundaries, missing Suspense fallbacks, and server/client component leaks in AI-generated Next.js applications.
Python
Catch bare except blocks, missing type annotations, inefficient list comprehensions, and hallucinated package imports in Python.
React
Identify direct state mutations, missing dependency arrays in useEffect, and redundant re-rendering patterns in React code bases.
TypeScript
Find excessive use of 'any', invalid type casting, unhandled optional chaining, and synthetic interface bloat in TypeScript.
JavaScript
Flag unhandled promise rejections, global variable pollution, floating async calls, and legacy ES5 patterns generated by AI models.
Go
Surface ignored error return values, unclosed channel deadlocks, nil pointer dereferences, and inefficient slice allocations in Go.
Rust
Detect unwrap() abuse in production, unnecessary clone() calls, overly permissive visibility, and improper lifetime workarounds.
Ruby
Catch N+1 database query patterns, unhandled rescue blocks, monkey-patching risks, and dynamic method evaluation security flaws.
Don't see your stack listed here?
VibeFix's Neural DNA engine analyzes code structure, AST patterns, and file metadata across all public GitHub repositories regardless of language.