OS Assistant - Development Log #2
Date: February 5, 2026
Developer: Xyon
Status: v1.1.0 Released

What’s New

This update focuses on production-grade monitoring, cloud database persistence, and CI/CD reliability improvements following the initial v1.0.0 release.

Key Features Added

Monitoring System - Complete observability with dedicated endpoints:

• /health - Real-time health checks with uptime tracking
• /metrics - Request counters and human-readable uptime
• /stats - Database statistics (average response times, error rates)
• Production logs persisted in cloud database with UTC+1 timestamps

PostgreSQL Migration - Moved from SQLite to cloud database:

• Supabase PostgreSQL with Session Pooler (IPv4 compatibility)
• Persistent logs survive backend redeployments
• UptimeRobot monitoring keeps database and backend active 24/7

Testing Improvements - Enhanced CI/CD reliability:

• Implemented unittest.mock for database-free testing in GitHub Actions
• All 5 backend tests pass without DATABASE_URL environment variable
• Fixed workflow to use requirements.txt for consistent dependencies

What I Learned

Database Challenges - Discovered ephemeral filesystems on Render delete SQLite files on every redeploy. Solution: migrate to cloud Postgres with always-on free tier (Supabase).

The Result

Production application with professional monitoring, persistent cloud storage, and robust CI/CD pipeline. Every feature built with full understanding of dependencies, testing strategies, and deployment considerations.

Demo: https://xyon15.github.io/os-assistant/
GitHub: https://github.com/Xyon15/os-assistant
Release: https://github.com/Xyon15/os-assistant/releases/tag/v1.1.0
License: GPL v3
Version: 1.1.0

OS Assistant - Development Log #1

Date: February 3, 2026
Developer: Xyon
Status: v1.0.0-stable Released

The Journey

This project demonstrates building a complete AI assistant from scratch with full understanding of every component and deployment to production with professional development practices.

What I Built

OS Assistant is a personal AI chat application with a modern web interface. Users can have conversations with LLM through a clean, responsive UI with dark mode support. The entire system is deployed in production with automated testing and real-time monitoring.

The long-term goal is to evolve this into a desktop application that serves as an intelligent productivity companion, while maintaining simplicity and extensibility.

Tech Stack

Backend: Python 3.10+, FastAPI, Uvicorn, SQLite, GitHub Models API (GPT-4o)
Frontend: HTML5, CSS3 (Flexbox, animations, CSS variables), Vanilla JavaScript
Testing: pytest (backend), Selenium + ChromeDriver (UI tests), GitHub Actions (CI/CD)
Deployment: Render (backend), GitHub Pages (frontend), UptimeRobot (monitoring)

The Result

From zero knowledge to a production-ready application with professional development practices. I learned more building this than months of tutorials ever taught me. The project is live, tested, monitored, and ready for users.

Demo: https://xyon15.github.io/os-assistant/
GitHub: https://github.com/Xyon15/os-assistant
Release: https://github.com/Xyon15/os-assistant/releases/tag/v1.0.0-stable
License: GPL v3
Version: 1.0.0