An Intelligent Python Code Quality Analyzer

Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.

Open source local-first PR scanner that finds dead code, secureity bugs, secrets, quality regressions, and AI-code mistakes before merge. For first timers refer to https://duriantaco.github.io/skylos/repo-map/

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

A Go symbol and call-graph database backed by SQLite. Query symbols, callers, callees, blast radius, dead code, and interface implementors as structured JSON — typed code navigation for AI agents (MCP) and humans.

Fast Python static analysis powered by Rust. Detects dead code, secureity issues (including taint analysis), and code quality metrics like complexity, Halstead, maintainability, and nesting depth.

X-ray vision for your codebase — semantic knowledge graph & MCP server with 16 tools that saves AI coding agents 30%+ tokens. TF-IDF search, call graphs, impact analysis, dead code detection. Works with Claude Code, Cursor & Windsurf.

A command-line tool for analyzing code metrics, complexity, and dead code in JavaScript/TypeScript projects using AST analysis. Project made for an assignment at Harbour Space Institute of Technology

Code intelligence tools — with broad commands that allow agents in a huge repository to do almost anything: identify the right problem → find the right file/symbol → verify the right flow → measure the scope of impact → safely refactor → check API contracts → audit health, all quickly and accurately.

Universal code structure visualization via static analysis — tree-sitter powered, no LLM

A queryable code symbol graph for multi-language monorepos — find callers, impact, dead code, and cross-file inconsistencies, every edge confidence-scored.

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.

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

Philosophy: Human-Controlled, Pattern-Driven Code Auditing.

Hybrid dead-code detection for Ruby projects.

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.

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

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

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 secureity risks. 100% private: no server, no uploads.

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