clrd
v0.1.11
Published
AI-native code maintenance tool - Transparent, Delicate, and Fast
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clrd
AI-Native Dead Code Detection
Transparent, Delicate, and Fast
Installation · Quick Start · Documentation · Contributing
Why clrd?
Traditional dead code tools blindly flag unused code. But modern codebases are complex—dynamic imports, barrel files, and framework magic create false positives everywhere.
clrd is different. Built for the Agentic era, it combines:
- Rust Speed — Oxc parser + Rayon parallelism for instant analysis
- AI Intelligence — Confidence scoring lets LLMs make the final call
- Context Awareness — Generates AI context files so agents understand your codebase
# Find dead code in seconds, not minutes
$ clrd scan
Found 23 issues in 1,847 files (142ms)
src/utils/legacy.ts
├─ unusedHelper (unused_export) — 0 references [confidence: 0.95]
└─ deprecatedFn (unused_export) — 0 references [confidence: 0.87]
src/components/Button.tsx
└─ OldButtonProps (unused_type) — 0 references [confidence: 0.92]Installation
Via npm (Recommended)
npx clrd scanOr install globally:
npm install -g clrdVia Cargo
cargo install clrdFrom Source
git clone https://github.com/relkimm/clrd.git
cd clrd
cargo build --releaseQuick Start
1. Initialize
Create clrd.md with usage instructions for AI agents:
clrd initThis creates clrd.md and adds references to existing claude.md, agent.md, or .cursorrules.
2. Scan for Dead Code
# Pretty output (default)
clrd scan
# JSON output for LLM consumption
clrd scan --format json
# Interactive TUI
clrd scan --format tui
# Filter by confidence
clrd scan --confidence 0.83. Let AI Clean Up
Tell your AI agent: "Clean up dead code"
The AI will:
- Read
clrd.mdfor instructions - Run
clrd scan --format json - Remove dead code based on confidence scores
4. Manual Fix (Optional)
# Preview changes (dry run)
clrd fix --dry-run
# Comment out instead of delete
clrd fix --soft
# Actually remove (requires clean git)
clrd fix --forceFeatures
Dead Code Detection
| Type | Description |
|------|-------------|
| unused_export | Exported symbols with no external references |
| unused_import | Imports never used in the file |
| zombie_file | Files never imported by others |
| unreachable_function | Functions never called |
| unused_type | Types/Interfaces never referenced |
| unused_class | Classes never instantiated |
| unused_enum | Enums never used |
Confidence Scoring
Not all dead code is equal. clrd assigns confidence scores to minimize false positives:
| Score | Meaning | Recommendation | |-------|---------|----------------| | 0.8+ | High confidence | Safe to remove | | 0.5-0.8 | Medium confidence | Review recommended | | <0.5 | Low confidence | LLM judgment needed |
Factors that lower confidence:
- Dynamic imports (
import(),require()) - Test files
- Entry points (
index.ts,main.ts) - Public API markers
AI Integration
clrd is designed to work seamlessly with AI agents:
# Output JSON schema for LLM tool use
clrd schema
# The JSON output is perfect for AI consumption
clrd scan --format json --output dead-code.jsonCLI Reference
clrd - AI-native code maintenance tool
USAGE:
clrd <COMMAND>
COMMANDS:
init Create clrd.md with AI agent instructions
scan Scan for dead code
fix Remove or comment out dead code
schema Output JSON schema for LLM integration
OPTIONS:
-v, --verbose Enable verbose output
-C, --directory <DIR> Working directory
-h, --help Print help
-V, --version Print versionclrd scan
OPTIONS:
-f, --format <FORMAT> Output format [default: pretty]
[values: pretty, json, compact, tui]
-e, --extensions <EXT> File extensions (comma-separated)
-i, --ignore <PATTERN> Patterns to ignore (comma-separated globs)
--include-tests Include test files in analysis
--confidence <FLOAT> Minimum confidence threshold [default: 0.5]
-o, --output <FILE> Output file (for json format)clrd fix
OPTIONS:
--dry-run Preview changes without modifying files
--soft Comment out code instead of deleting
--force Force removal (requires clean git status)
--confidence <FLOAT> Only fix items above threshold [default: 0.8]
-f, --files <FILES> Specific files to fixConfiguration
Supported File Types
By default, clrd scans: .ts, .tsx, .js, .jsx, .mjs, .cjs
# Scan only TypeScript
clrd scan --extensions ts,tsxIgnore Patterns
Default ignores: node_modules, dist, build, .git
# Add custom ignores
clrd scan --ignore "**/*.test.ts,**/*.spec.ts,**/fixtures/**"How It Works
┌─────────────────────────────────────────────────────────────────┐
│ clrd Pipeline │
├─────────────────────────────────────────────────────────────────┤
│ │
│ 1. COLLECT 2. ANALYZE 3. DETECT │
│ ┌──────────┐ ┌──────────┐ ┌────────────┐ │
│ │FileWalker│─────▶│ Oxc │──────▶│ Reference │ │
│ │ (rayon) │ │ Parser │ │ Graph │ │
│ └──────────┘ └──────────┘ └────────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ 1,847 files AST Analysis Dead Code Items │
│ in 50ms with exports/ with confidence │
│ imports scores │
│ │
└─────────────────────────────────────────────────────────────────┘- FileWalker — Parallel file traversal using
rayon, respects.gitignore - Oxc Parser — Lightning-fast JavaScript/TypeScript AST parsing
- Reference Graph — Cross-file analysis to find unused exports/imports
Benchmarks
Tested on a large TypeScript monorepo (50,000+ files):
| Tool | Time | Memory | |------|------|--------| | clrd | 2.3s | 180MB | | ts-prune | 45s | 1.2GB | | knip | 38s | 890MB |
Benchmarks run on Apple M2, 16GB RAM
Programmatic API
Rust
use clrd::Scanner;
#[tokio::main]
async fn main() -> anyhow::Result<()> {
let scanner = Scanner::new("./src")
.with_extensions(vec!["ts".into(), "tsx".into()])
.with_confidence_threshold(0.8);
let result = scanner.scan().await?;
println!("Found {} issues", result.dead_code.len());
Ok(())
}Comparison
| Feature | clrd | ts-prune | knip | unimported | |---------|-----|----------|------|------------| | Speed | Instant | Slow | Moderate | Moderate | | Confidence scoring | Yes | No | No | No | | AI integration | Native | No | No | No | | JSON schema | Yes | No | Partial | No | | Interactive TUI | Yes | No | No | No | | Zero config | Yes | Yes | No | Yes |
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
# Clone the repo
git clone https://github.com/relkimm/clrd.git
cd clrd
# Install dependencies
cargo build
# Run tests
cargo test
# Run locally
cargo run -- scan --format prettyLicense
MIT License - see LICENSE for details.
Built with Rust and Oxc for the Agentic era
