Co-Pilot / 辅助式
更新于 24 days ago

regexfast

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

💡 摘要

RegexFast 是一个基于 AI 的工具,用于在安全环境中生成和测试正则表达式模式。

🎯 适合人群

需要正则表达式解决方案的网页开发者处理文本数据的数据分析师测试输入验证的 QA 工程师学习正则表达式的学生自动化正则表达式任务的软件工程师

🤖 AI 吐槽:看起来很能打,但别让配置把人劝退。

安全分析低风险

风险:Low。建议检查:是否执行 shell/命令行指令;是否发起外网请求(SSRF/数据外发);依赖锁定与供应链风险。以最小权限运行,并在生产环境启用前审计代码与依赖。

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.

五维分析
清晰度8/10
创新性8/10
实用性9/10
完整性7/10
可维护性8/10
优缺点分析

优点

  • AI 生成的正则表达式模式
  • 安全环境中的自动化测试
  • 实时结果和反馈
  • 用户友好的互动界面

缺点

  • 依赖外部 AI 服务
  • 仅限于正则表达式相关任务
  • 初学者可能有学习曲线
  • 需要互联网才能完全功能

相关技能

pytorch

S
toolCode Lib / 代码库
92/ 100

“它是深度学习的瑞士军刀,但祝你好运能从47种安装方法里找到那个不会搞崩你系统的那一个。”

agno

S
toolCode Lib / 代码库
90/ 100

“它承诺成为智能体领域的Kubernetes,但得看开发者有没有耐心学习又一个编排层。”

nuxt-skills

S
toolCo-Pilot / 辅助式
90/ 100

“这本质上是一份组织良好的小抄,能把你的 AI 助手变成一只 Nuxt 框架的复读机。”

免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 kent-daniel.