MCPxelMCPxel
Co-Pilot
Updated 24 days ago

regexfast

Kkent-daniel
0.0k
kent-daniel/regexfast
80
Agent Score

💡 Summary

RegexFast is an AI-powered tool for generating and testing regex patterns in a secure environment.

🎯 Target Audience

Web developers needing regex solutionsData analysts working with text dataQA engineers testing input validationStudents learning about regular expressionsSoftware engineers automating regex tasks

🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”

Security AnalysisLow Risk

Risk: Low. Review: shell/CLI command execution; outbound network access (SSRF, data egress); dependency pinning and supply-chain risk. Run with least privilege and audit before enabling in production.

RegexFast

Generate and Test Regex with AI Agent

AI coding agent that generates, executes, and evaluates to deliver accurate regex patterns. Automatically tested in a secure sandbox for reliable results.

Features

  • 🤖 AI-Powered Regex Generation - Intelligent agent generates regex patterns based on your requirements
  • 🧪 Automated Testing - Patterns are executed and validated in a secure sandbox environment
  • ⚡ Real-Time Results - See matches and test results instantly
  • 💬 Interactive Chat Interface - Refine patterns through natural conversation
  • 🎯 Common Regex Snippets - Quick access to frequently used patterns
  • 🎨 Modern UI - Clean, responsive design built with Next.js and Tailwind CSS

Getting Started

Prerequisites

  • Node.js 18+
  • npm/yarn/pnpm/bun

Installation

# Install dependencies
npm install

# Run the development server
npm run dev

# For full development (frontend + worker)
npm run dev:all

Open http://localhost:3000 to see the application.

Architecture

  • Frontend: Next.js 14 with App Router, React, Tailwind CSS
  • Backend: Cloudflare Workers with Durable Objects
  • AI: Vercel AI SDK with agent framework
  • Sandbox: Secure code execution environment with Daytona

Project Structure

src/
├── app/              # Next.js app router pages
├── components/       # React components
├── agent-worker/     # Cloudflare Worker backend
├── hooks/           # Custom React hooks
└── lib/             # Utilities and helpers

Documentation

Deploy

The application can be deployed on:

  • Frontend: Vercel, Netlify, or Cloudflare Pages
  • Backend Worker: Cloudflare Workers

See deployment documentation for platform-specific instructions.

5-Dim Analysis
Clarity8/10
Novelty8/10
Utility9/10
Completeness7/10
Maintainability8/10
Pros & Cons

Pros

  • AI-generated regex patterns
  • Automated testing in a secure environment
  • Real-time results and feedback
  • User-friendly interactive interface

Cons

  • Dependency on external AI service
  • Limited to regex-related tasks
  • Potential learning curve for beginners
  • Requires internet for full functionality

Related Skills

pytorch

S
toolCode Lib
92/ 100

“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”

View Analysis

agno

S
toolCode Lib
90/ 100

“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”

View Analysis

nuxt-skills

S
toolCo-Pilot
90/ 100

“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”

View Analysis

Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author kent-daniel.