Just Spent: Cross-Platform Expense Tracker
An experimental project demonstrating AI-assisted development methodology and architectural validation.
This was an intentional experiment to explore AI-assisted development methodology for producing production-quality applications. My role was as system architect, technical specification author, and quality validator.
Just Spent is a voice-driven expense tracker developed using AI tools under my architectural direction. I designed the system architecture, created detailed technical specifications, established TDD validation workflows, and verified generated code against production quality standards through testing and code review.
What this demonstrates: My ability to architect multi-platform systems, write precise specifications, apply systematic validation, and guide AI-assisted implementation toward maintainable results.
Technical Highlights
Voice-First Architecture
Designed around natural expense entry, platform voice integrations, and fast logging flows for mobile users.
Test-Driven Validation
Used tests as the control system for AI-assisted implementation, regression checks, and behavior consistency.
Automation Workflow
Created repeatable implementation, review, and verification loops so generated code could be evaluated reliably.
Production-Oriented Structure
Focused on offline behavior, multi-currency design, platform-native storage, and maintainable app architecture.
Technology Stack
iOS
Android
Open Documentation & Implementation Guide
The repository is structured as a studyable system with architecture notes, testing guidance, and platform-specific implementation specs.
Explore the complete system architecture, browse the source code, and see how AI collaboration can support production-minded app development.