AI SummaryCursor Rules for Monity provides developers with comprehensive guidelines and project context for contributing to a full-stack personal finance application built with React, Node.js, and PostgreSQL. Developers working on or extending the Monity codebase benefit from clear architecture documentation, tech stack specifications, and development standards.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "Monity — Cursor Rules" prompt rules to my project. Repository: https://github.com/Monity-FinanceTracker/Monity Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
Cursor Rules for Monity
Project Overview
Monity is a full-stack personal finance management application with AI-powered transaction categorization, collaborative expense splitting, and financial health insights. Built with React and Node.js following MVC architecture.
Backend
• Runtime: Node.js 18+ • Framework: Express.js with MVC architecture • Database: PostgreSQL via Supabase • Authentication: JWT with Supabase Auth • AI/ML: Custom Naive Bayes classifier with NLP (natural, compromise, stopword, ml-naivebayes) • Payment Processing: Stripe API • Caching: LRU cache (in-memory) • Scheduling: node-cron for automated tasks • Security: helmet, rate limiting (express-rate-limit), encryption middleware, input validation (joi), XSS protection • Testing: Jest + Supertest
Frontend
• Framework: React 19 • Build Tool: Vite 6 • Styling: Tailwind CSS 4 • State Management: React Context + TanStack React Query v5 • Routing: React Router v7 • Charts: react-chartjs-2 • i18n: react-i18next (English & Portuguese) • Performance: react-window for virtualization, lazy loading • Analytics: Vercel Analytics & Speed Insights • Testing: Vitest + Testing Library
Infrastructure
• Database & Auth: Supabase • API: RESTful with versioning (/api/v1) • CI/CD: AWS deployment ready
Discussion
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Works With
Any AI assistant that accepts custom rules or system prompts