February 2026

Automated Feline Recognition: Object Detection for Smart Feeder Integration using YOLO11

Computer Vision /

As part of the CAS Deep Learning curriculum, this project explores the practical application of high-end computer vision in a domestic environment. The primary objective was the development of a robust object detection model based on the YOLO11 architecture to uniquely identify three specific subjects: Tigi, R.E.D., and Milou. The long-term goal is the integration […]

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Building an Autonomous AI Test Engineer: From Script to “Virtual Colleague”

AI Agents /

I didn’t just want a tool that could write a test. I wanted a colleague. A fundamental design goal was to create a system that works entirely asynchronously in the background. I wanted an AI agent that I could point at a repository and say, “Fix the coverage,” then move on to other tasks, knowing it would only report back once the job was done—not earlier, and without requiring constant hand-holding.

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