dead-code-detection

CodexRay Pro 2026: AI-Powered TypeScript Code Quality Analyzer & MCP Visualizer

💀 AI-powered forensic scanner that detects dead code, zombie dependencies, and unused imports in Python repositories with framework-aware analysis

PyDevKit is a beginner-friendly Python CLI toolkit for project analysis, health checks, dead-code detection, automated pytest generation, and README generation with optional AI assistance.

The fastest Python code quality engine — type checking, security scanning, dead code detection, complexity analysis & auto-fix in one Rust binary. Replaces mypy, flake8, bandit, vulture, radon, black & isort. 10-100x faster.

Blazingly fast dead code detector using reachability analysis. Part of Neural Garage - AI-powered code analysis tools.

🧠 Local-first VS Code extension for codebase intelligence, AST guardrails, and deterministic AI context engineering. Protects against vibe-coding degradation with zero cloud dependency.

SysNexus - Architecture Intelligence Platform. Scan any codebase and generate interactive visual reports entirely in your browser. Supports local folders and GitHub repos. Detects circular dependencies, dead code, coupling hotspots, chokepoints, and security risks. 100% private: no server, no uploads.

React Dead Hunt scans your React project to identify dead code that's no longer being used. It helps you maintain a clean, efficient codebase by pinpointing exports that can be safely removed.

Static analyzer for legacy PHP: dependency graph, dead code detection with confidence levels, auto-generated docs. AST-based, zero framework, standalone HTML report.

Multi-agent orchestration specification for surgical, auditable codebase pruning — dead code removal with safety guarantees

Persist Claude Code session memory as markdown notes in your Obsidian vault for instant context recall.

Argus indexes the structure of a polyglot codebase (symbols, signatures, docstrings, call relationships) into a local SQLite database and serves it to AI coding assistants over the Model Context Protocol.

Cursor plugin: find and report dead code (unused imports, variables, functions, exports, unreachable code). Language-agnostic, report-first, optional safe removal. Use /dead-code or ask in chat.

Bloat guard skill. Run a check, read the number, cut. Ten signals with detection commands. Executable detectors, not principles.

Autonomous software engineering pipeline for Claude Code: 11 stages, 64 verification rules, 17 codebase intelligence tools, 5 science-backed git analytics. Findings → PRD → verified PR with zero LLM judges.

Point it at a Python project and get an interactive map of its code in a single HTML file: call graph, LLM-written description on every function, and flagged blind spots. Works on Django and plain Python.

AI-powered TypeScript & JavaScript code analysis for complexity, security, dead code, and dependencies - 100% offline, built for MCP.

Python static analysis tool for dead code, unused imports, dependency graphs, module reachability, AST analysis, and dependency analysis.

AI-native static code intelligence CLI + MCP server — prevents collision, dead code, and security bugs before AI agents write code. 13 languages, SQLite graph model, zero LLM calls.

A depth-first, multi-language static scanner that flags wasted work, self-contradiction, and missing escape hatches — and never dresses a heuristic up as a proof. The pons asinorum for code.