Spec-Driven Development
A desktop cloud file explorer shaped by specs, architecture, and AI-assisted development.
This is a real software project created as a practical engineering experiment. It combines product design, architecture decisions, structured specs, and AI-assisted implementation to validate a spec-oriented development workflow in practice, using cloud storage providers as the real-world domain.
About
CloudEasyFiles is a desktop application for browsing and managing files across cloud storage providers through a unified interface.
The project focuses on structural navigation, central object listing, archival restore workflows, and a provider-aware architecture that simplifies usage without hiding real cloud limitations. AWS S3 and Azure Blob Storage are the initial supported providers, but the product is designed around cloud storage as a broader category.
Engineering Case
CloudEasyFiles is not presented only as a product. It is also an intentional technical experiment conducted by Andre Luiz Pires Silva, an experienced software developer with more than 15 years of experience across multiple languages, platforms, cloud environments, serverless systems, backend engineering, and software architecture.
This project is a practical case for exploring:
The goal is to validate this approach in a real project, with architecture docs, ADRs, feature specs, and implementation plans acting as the main source of truth.
Problem
Cloud storage providers are powerful, but they are not always easy for ordinary users to work with directly. This is especially true for backup and archival scenarios, where files may be stored in low-cost tiers that are cheaper to keep but harder to retrieve and manage.
CloudEasyFiles aims to make these services more approachable by offering a clearer interface for browsing cloud storage, understanding availability states, requesting restores, tracking progress, and downloading files when they are ready, without forcing the user to navigate complex provider consoles and provider-specific terminology.
Process
Capabilities
Architecture
The system is organized around a clean separation between UI, application orchestration, domain logic, provider adapters, and infrastructure. The core model stays provider-aware: it normalizes what improves usability, but it does not pretend that different cloud storage providers are identical. AWS S3 and Azure Blob Storage are the first implementations of that model.
Docs