# How to Vibe Code Your Own MaintenEase (and Stop Paying for It) > CMMS Software to Prevent Downtime - Site: https://maintenease.com - Category: B2B SaaS - Verdict: **Solid side project** (68/100 vibecodeable) - Estimated effort: 2-3 weeks part-time ## Verdict Build a focused subset of the work order and asset tracker over 2-3 weekends, but keep paying if you need reliable field-offline sync and automated telemetry alerts. MaintenEase is a classic CRUD-heavy operational SaaS with a few tricky subsystems. While spinning up the work order dashboard, asset registry, and relational database schema takes days with AI coding tools, building a bulletproof recurring preventive maintenance scheduler that survives server restarts and handling offline sync for field technicians on factory floors will require serious debugging. The AI predictive layer can be faked with an LLM API summarizing maintenance text, but real sensor telemetry requires complex time-series data pipelines. ### What you can't replicate - Existing equipment historical telemetry data - Battle-tested offline technician sync for basement facilities ## What it does Computerized Maintenance Management System (CMMS) designed for facility and maintenance teams, providing work order management, asset registries, preventive maintenance scheduling, inspections, and predictive maintenance alerts. ### Core features - Work order creation, assignment, tracking, and completion workflows - Physical asset registry with historical repair and maintenance logs - Preventive maintenance (PM) scheduling engine based on calendar intervals or meter readings - Digital inspection checklists and audit form builder - Cost, parts, and labor expenditure tracking - Predictive alert logging and anomaly tracking dashboard - Responsive mobile web interface for field technicians in low-connectivity areas ## The business ### Pricing - Starter: $49/mo — Includes core maintenance tools for small teams. - Pro: $129/mo — Aimed at growing teams with multi-technician workflows. - Business: $299/mo — Highest tier for larger operations and complex facilities. ## The hard parts - Robust cron and background job scheduler to reliably trigger recurring preventive maintenance work orders without race conditions or missed schedules - Offline-first field technician workflow handling optimistic UI updates and local caching for spotty facility-floor connectivity - Time-series sensor telemetry ingestion and anomaly detection models for true predictive maintenance alerts ## How to vibe code MaintenEase ### Prerequisites - Node.js (free): Required runtime for running Next.js and package management. - GitHub (free): Source control and deployment pipeline integration. - Cursor (free): AI-native code editor for iterative full-stack feature building. ### Recommended AI tools - Cursor: Provides precise multi-file edits and composer mode for building complex relational database schemas and React components. - Claude Code: Handles end-to-end scaffolding of database migrations, background cron jobs, and API routes directly from the terminal. ### Stack - Frontend: Next.js with Tailwind CSS and shadcn/ui components - Backend: Next.js API Route Handlers / Server Actions - Database: Turso (SQLite at the edge for relational assets and work orders) - Auth: better-auth - Payments: None (personal use clone) - Other: Vercel AI SDK for generating work order summaries and maintenance recommendations via OpenAI API, Inngest for reliable background job execution of recurring preventive maintenance schedules ### Hosting - Cloudflare (Hosting the Next.js frontend and edge API routes): $0-5/mo - Turso (Serverless SQLite database storage for work orders, assets, and user tables): $0/mo ### Build guide 1. **Project Scaffolding & Database Schema** — Initialize the Next.js project with Tailwind CSS, shadcn/ui, better-auth, and connect Turso SQLite via Drizzle ORM. ``` Initialize a new Next.js project with TypeScript, Tailwind CSS, and App Router. Set up Drizzle ORM configured for Turso SQLite. Define relational database schemas for users, assets (name, category, serial number, status, location), work orders (title, description, priority, status, assigned_to, asset_id, due_date), preventive_maintenance_schedules (interval_days, next_run_date, asset_id), and inspection_checklists. Implement better-auth for secure email/password authentication with organization team management plugins. Ensure strict TypeScript types across all database relations and server actions. ``` 2. **Asset Registry & Inventory Management** — Build the asset registry dashboard allowing users to create, view, filter, and inspect physical equipment and historical repair logs. ``` Build a comprehensive asset registry module in Next.js using shadcn/ui tables and dialogs. Create server actions to CRUD physical assets with fields: name, asset tag, location, serial number, purchase date, status (operational, under maintenance, decommissioned), and category. Implement a detail view page for each asset showing its historical work orders, active parts inventory, and maintenance logs. Add search, status filtering, and CSV export functionality. ``` 3. **Work Order Tracking & Assignment** — Implement work order management with status kanban or list views, priority tags, technician assignments, and cost tracking. ``` Create the work order management system. Build server actions and UI views for creating, updating, and assigning maintenance tickets. Work orders must support fields: title, description, priority (low, medium, high, emergency), status (open, in progress, on hold, completed), assigned technician, linked asset, labor hours, and parts cost. Implement a responsive list view with filtering by status and technician, plus a detailed work order slide-over panel for logging notes and closing tickets. ``` 4. **Preventive Maintenance (PM) Scheduler & Background Jobs** — Configure Inngest to handle recurring preventive maintenance schedules that automatically generate work orders at specified intervals. ``` Implement a preventive maintenance scheduling engine using Inngest and Next.js. Create database models and UI forms allowing users to define recurring PM schedules linked to assets (e.g., every 30 days or every 500 operating hours). Set up an Inngest cron function that runs daily, evaluates due PM schedules, automatically generates new work orders with pre-filled checklists, and updates the next run date without race conditions. Include error handling and execution logging. ``` 5. **Digital Inspections & AI Maintenance Summaries** — Add digital checklist audit forms for technicians and integrate OpenAI via Vercel AI SDK to generate maintenance summaries. ``` Build a digital inspection checklist builder and execution view where technicians can check off pass/fail items and record notes in the field. Additionally, integrate the Vercel AI SDK with OpenAI API to add an 'AI Assistant' button on work order detail pages that analyzes historical maintenance logs, suggests root causes, and drafts professional repair summaries for management review. ``` ### Cost vs paying **Starting costs (one-time):** - Domain name (optional): $12 one-time - Total: ~$12 one-time **Ongoing costs (monthly):** - Cloudflare / Turso free tiers: $0/mo - OpenAI API usage for work order summaries: ~$2/mo - Total: ~$2/mo - Paying for the SaaS instead: $49/mo - $299/mo - Build time: 25-35 hours - AI tool credits: $20 (Cursor Pro) - Break-even: Immediate ## Sources - [MaintenEase Official Homepage](https://maintenease.com) - [MaintenEase Pricing Overview](https://maintenease.com/pricing)