✨ Build AI agents and web apps — with a single binary.

A powerful and easy-to-use Go development framework that enables you to effortlessly build stable, reliable, and high-performance backend services with a "low-code" approach.

Open-source Python, TypeScript, and Go SAST with dead code detection. Finds secrets, exploitable flows, and AI regressions. VS Code extension, GitHub Action, and MCP server for AI agents.

Project CodeGuard is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI assistants to generate more secure code automatically.

SwiftUI projects for my YouTube tutorials and Medium article.

Security checklist for vibe coded apps. AI rules file + automated audit + manual verification.

⚡ The AI Slop Index linter inspired by @karpathy. Detects hallucinated imports, any-type abuse, vibe coding, and soul-less patterns in TypeScript/JavaScript/React. Fast (~4s), educational, CI-ready. npx karpeslop@latest

Anti-slop linter for AI-assisted codebases

Stop shipping AI slop. Detects empty functions, fake documentation, and inflated comments in AI-generated code. Production-ready.

An experimental, 100% AI-generated, high-performance code intelligence server providing AI assistants with a graph-based understanding of codebases.

Language Agnostic Ultra Fast Best Practice Analyzer

Battle-tested Claude Code skills for hardening vibe-coded projects. Audit, clean, and ship AI-generated codebases with confidence.

🤖 AI code quality gate for AI-generated code. Detects hallucinated packages, phantom dependencies, stale APIs, and more. MCP Server + CLI + CI/CD Action.

GitHub Manager Pro is a powerful web application for managing your GitHub followers and following relationships. It helps you discover users who don't follow you back (Unfollowers) and non-reciprocal relationships, while providing smart tools to manage your following list safely and efficiently.

Unified solution for SemEval-2026 Task 13: GenAI Code Detection & Attribution. A modular framework covering Subtasks A (Detection), B (Authorship), and C (Mixed-Source Analysis), designed to distinguish and analyze LLM-generated vs. Human code with a centralized pipeline.

Production-grade quality assurance framework for AI-generated code. Validates testing, security, performance, and maintainability in your CI/CD pipeline.

Julia interface to the Giac computer algebra system

Detect architectural erosion from AI-generated code. Static analyzer for pattern fragmentation, architecture violations & mutant duplicates.

Code Guardian enforces architectural rules in your codebase, especially valuable when working with AI-generated code. It validates changes against your defined standards to prevent violations and reduce AI hallucinations.