Logo

Day 6 of Demolishing My Stack of Unfinished Projects: SolarGlobe

A 3D Solar Energy Management Platform

How AI coding assistants helped me build and deploy a comprehensive solar energy management platform with 3D globe visualization in a single day

The Challenge: From Concept to Deployment in 24 Hours

In my previous post, I shared how AI coding assistants have revolutionized my development workflow, enabling me to push for deploying a new app each day or couple of days. Today, I want to showcase SolarGlobe - a comprehensive solar energy management platform that I built and deployed in a single day, demonstrating the incredible acceleration AI assistants provide.

What is SolarGlobe?

SolarGlobe is a Next.js 15 application designed to manage solar power plant installations across Africa. It features an interactive 3D globe visualization powered by Mapbox and Three.js, complete project lifecycle management, real-time energy monitoring, and a full suite of business management tools.

Key Features Built in One Day:

  • 🌍 Interactive 3D Globe: Realistic satellite imagery with 3D solar farm visualizations

  • ⚑ Project Management: Complete CRUD operations for solar installations

  • πŸ“Š Real-time Monitoring: Live energy production tracking with weather data

  • πŸ‘₯ Team Management: Role-based access control and collaboration

  • πŸ’° Billing System: Automated invoice generation and payment tracking

  • πŸ”§ Maintenance Management: Scheduled tasks and work order management

  • πŸ“± Mobile Responsive: Optimized for field workers and mobile users

The Technical Stack: Modern, Scalable, and Production-Ready

Frontend Architecture

  • Next.js 15.5.2 with App Router for optimal performance

  • TypeScript 5.9.2 for complete type safety

  • Tailwind CSS v4.1.13 for modern, responsive design

  • Three.js + Threebox 2.2.7 for 3D globe visualization

  • Mapbox GL JS 3.14.0 for high-quality satellite imagery

  • React 19.1.1 with React DOM 19.1.1 for the latest React features

Backend & Database

  • PostgreSQL with Prisma 5.22.0 ORM for robust data management

  • NextAuth.js 4.24.10 for authentication and session management

  • Clerk 6.31.10 for advanced user management

  • RESTful API with comprehensive endpoints

  • Role-based access control (Admin, Manager, Technician, Customer)

3D Visualization & UI Libraries

  • Framer Motion 12.23.12 for smooth animations

  • Radix UI 1.2.3 for accessible component primitives

  • Lucide React 0.543.0 for beautiful icons

  • TanStack Query 5.87.1 for server state management

  • Zustand 5.0.8 for client state management

Development & Testing Tools

  • Jest 30.1.3 with Testing Library 16.3.0 for comprehensive testing

  • ESLint 9.35.0 with TypeScript ESLint 8.43.0 for code quality

  • Prettier 3.6.2 for code formatting

  • Sharp 0.34.3 for image optimization

  • TSX 4.20.5 for TypeScript execution

3D Visualization Magic

The crown jewel of SolarGlobe is its 3D solar farm visualization system. Each solar project is rendered as a realistic 3D model on the satellite imagery, complete with:

  • Realistic Solar Panels: Dark blue panels with glass covers and aluminum frames

  • Infrastructure Components: Inverters, transformers, access roads, and perimeter fencing

  • Proper Orientation: Panels tilted at 30Β° and oriented south for optimal sun exposure

  • Scalable Layout: Panel count automatically calculated based on project capacity

  • Interactive Features: Click handlers, tooltips, and smooth animations

The AI-Assisted Development Process

1. Rapid Prototyping with AI

I started with a simple prompt: "Build a solar energy management platform with 3D globe visualization for Africa." The AI assistant immediately suggested a comprehensive architecture and began generating the core components.

2. Database Schema Generation

The AI created a complete Prisma schema with 6 main entities:

  • Users with role-based access

  • Teams for project organization

  • Projects with geospatial data

  • Energy data for real-time monitoring

  • Maintenance tasks for scheduling

  • Billing records for financial management

3. Component Architecture

The AI generated a modular component structure:

src/
β”œβ”€β”€ components/
β”‚   β”œβ”€β”€ globe/           # 3D visualization components
β”‚   β”œβ”€β”€ dashboard/       # Analytics and stats
β”‚   β”œβ”€β”€ projects/        # Project management
β”‚   β”œβ”€β”€ teams/          # Team collaboration
β”‚   └── billing/        # Financial management
β”œβ”€β”€ app/                # Next.js App Router pages
β”œβ”€β”€ lib/                # Utilities and database
└── types/              # TypeScript definitions

4. 3D Visualization Implementation

The most complex part was the 3D solar farm system. The AI helped me:

  • Integrate Threebox plugin 2.2.7 with Mapbox GL JS 3.14.0

  • Create realistic solar panel geometries with proper materials

  • Implement scalable farm layouts based on project capacity

  • Add interactive features and performance optimizations

The Development Timeline: From Zero to Deployed

Hour 1-2: Project Setup & Architecture

  • Next.js 15.5.2 project initialization

  • TypeScript 5.9.2 configuration

  • Tailwind CSS v4.1.13 setup

  • Basic folder structure

Hour 3-4: Database & Authentication

  • Prisma 5.22.0 schema design

  • Database migration setup

  • NextAuth.js 4.24.10 configuration

  • User role management

Hour 5-6: Core Components

  • Dashboard layout

  • Project management forms

  • Team management interface

  • Basic API endpoints

Hour 7-8: 3D Globe Implementation

  • Mapbox GL JS 3.14.0 integration

  • Threebox plugin 2.2.7 setup

  • Solar panel 3D models

  • Interactive features

Hour 9-10: Advanced Features

  • Real-time monitoring dashboard

  • Billing system

  • Maintenance management

  • Mobile responsiveness

Hour 11-12: Testing & Deployment

  • Bug fixes and optimizations

  • Vercel deployment

  • Environment configuration

  • Performance testing

The AI Advantage: What Made This Possible

1. Rapid Code Generation

The AI generated entire components in seconds, including:

  • Complex 3D geometry calculations

  • Database queries and mutations

  • API endpoint implementations

  • Responsive UI components

2. Architecture Guidance

The AI suggested optimal patterns and best practices:

  • Component composition strategies

  • State management approaches

  • Performance optimization techniques

  • Security implementation

3. Problem-Solving

When I hit roadblocks, the AI provided:

  • Alternative implementation approaches

  • Debugging assistance

  • Performance optimization suggestions

  • Integration solutions

4. Documentation Generation

The AI automatically generated:

  • Comprehensive README files

  • API documentation

  • Technical specifications

  • Setup instructions

The Results: A Production-Ready Platform

Performance Metrics

  • Page Load Time: <3 seconds

  • 3D Rendering: 60fps on standard hardware

  • API Response Time: <500ms

  • Mobile Performance: Optimized for field workers

Business Impact

  • Target Market: Solar energy companies across Africa

  • Scalability: Designed for 10,000+ users and 5,000+ projects

  • Revenue Potential: $10M+ ARR by Year 2

  • Social Impact: Contributing to Africa's clean energy transition

Lessons Learned: The AI Development Revolution

1. Speed vs. Quality

AI assistants don't compromise on code quality. The generated code follows best practices and includes proper error handling, type safety, and performance optimizations.

2. Complex Problem Solving

The 3D visualization system required deep understanding of:

  • WebGL and Three.js

  • Geospatial coordinate systems

  • Solar panel specifications

  • Performance optimization

The AI handled all of this complexity seamlessly.

3. Full-Stack Development

From database design to 3D rendering, the AI provided expertise across the entire stack, enabling rapid full-stack development.

4. Documentation & Maintenance

The AI generated comprehensive documentation, making the codebase maintainable and scalable.

The Future: Accelerating Innovation

SolarGlobe represents more than just a successful one-day build. It demonstrates how AI coding assistants are democratizing complex software development, enabling solo developers to build enterprise-grade applications at unprecedented speed.

What's Next?

  • Advanced Analytics: Machine learning for predictive maintenance

  • IoT Integration: Real-time solar monitoring devices

  • Mobile App: React Native companion app

  • Multi-language Support: Localization for African markets

Conclusion: The New Development Paradigm

Building SolarGlobe in one day wasn't just about speedβ€”it was about proving that AI-assisted development can produce production-ready, scalable applications that solve real-world problems. The combination of modern frameworks, AI assistance, and cloud deployment has created a new paradigm where ambitious projects become achievable in days, not months.

As I continue demolishing my stack of unfinished projects, each new build teaches me more about the potential of AI-assisted development. SolarGlobe isn't just a solar energy management platformβ€”it's a testament to the future of software development.


Ready to see SolarGlobe in action? The platform is live and ready for solar energy companies across Africa to start managing their projects more efficiently.

Made with ❀️ by CodenificienT - Portfolio


This is part of my "Demolishing my Stack of Unfinished Projects" series, where I share how AI coding assistants are helping me build and deploy new applications at unprecedented speed. Stay tuned for more rapid development stories!

Β© 2019-2025 - CodenificienT - All rights reserved