The dead code detection landscape has evolved significantly since 2025. AI-assisted coding tools like Cursor and Copilot have made dead code accumulation faster, while new detection tools have emerged to keep up. Here is the definitive guide for 2026.
1. CleanAI (Multi-Language, IDE-Integrated)
CleanAI is a VS Code and Cursor extension that combines multiple analysis tools into a single scan with visual results and automated safe removal.
Languages: TypeScript, JavaScript, Swift, Python
What it detects:
- Unused exports (via ts-prune)
- Unused imports and variables (via ESLint)
- Unused Swift declarations (via Periphery)
- Unused Python code (via Vulture)
- Orphaned files
Key differentiator: Auto Clean (Safe) -- incrementally removes dead code by commenting out each finding, running your build, and only confirming removal if the build passes. This eliminates the risk of breaking changes.
Best for: Teams using multiple languages or AI IDEs who want a unified scanning and removal workflow inside their editor.
Price: Free tier (limited scans/month), Pro and Team paid plans.
2. Knip (JavaScript/TypeScript)
Knip has emerged as the most comprehensive open-source tool for JavaScript and TypeScript dead code detection. It goes beyond ts-prune by also finding unused dependencies, unused files, and unused configuration entries.
What it detects:
- Unused files
- Unused dependencies in package.json
- Unused exports
- Unused types
- Unused enum members
npx knip
Best for: JavaScript/TypeScript monorepos that need thorough dependency and export analysis from the command line.
Price: Free, open source.
3. ts-prune (TypeScript)
ts-prune remains a reliable, focused tool for finding unused TypeScript exports. It is lightweight and fast, making it ideal for CI pipelines.
npx ts-prune
Best for: TypeScript projects that need a quick CI check for unused exports.
Price: Free, open source.
4. ESLint (JavaScript/TypeScript)
ESLint's @typescript-eslint/no-unused-vars rule catches unused imports and variables per-file. It is the most widely adopted dead code prevention tool.
Best for: Per-file linting in CI and on-save. Pairs with ts-prune or Knip for project-wide analysis.
Price: Free, open source.
5. Periphery (Swift)
Periphery is the gold standard for Swift dead code detection. It analyzes Xcode projects and Swift Package Manager packages to find unused declarations.
periphery scan --project MyApp.xcodeproj --schemes MyApp
Best for: iOS and macOS projects. Detects unused classes, structs, protocols, functions, properties, and enum cases.
Price: Free, open source.
6. Vulture (Python)
Vulture finds unused code in Python projects using AST analysis. The confidence score helps filter false positives from Python's dynamic patterns.
vulture src/ --min-confidence 80
Best for: Python projects of any size.
Price: Free, open source.
2026 Comparison Table
| Tool | Languages | Unused Exports | Unused Imports | Unused Files | IDE UI | Auto-Remove | Price | |------|-----------|---------------|---------------|-------------|--------|-------------|-------| | CleanAI | TS/JS/Swift/Python | Yes | Yes | Yes | VS Code/Cursor | Yes (safe) | Freemium | | Knip | JS/TS | Yes | Yes | Yes | No | No | Free | | ts-prune | TypeScript | Yes | No | No | No | No | Free | | ESLint | JS/TS | No | Yes | No | Plugin | Yes (--fix) | Free | | Periphery | Swift | Yes | N/A | Yes | No | No | Free | | Vulture | Python | Yes | Yes | No | No | No | Free |
Recommended Setup for 2026
The optimal dead code detection stack depends on your project:
TypeScript/JavaScript only:
- ESLint with
no-unused-varsin CI (catches imports on every PR) - Knip or ts-prune in CI (catches unused exports and files)
- CleanAI in the editor (visual review and safe removal)
Multi-language (TypeScript + Swift or Python):
- ESLint in CI for TypeScript
- CleanAI in the editor (unified scanning across all languages)
AI IDE users (Cursor, Windsurf, Copilot):
- All of the above, plus weekly CleanAI scans to catch AI-generated dead code
The key insight for 2026: dead code accumulates faster than ever due to AI-assisted coding. The tools to detect it have kept pace, but you need to actually run them.