From Barking to Building: How GitHub Copilot Solved a Real-Life Problem | Sip and Sync with Azure

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In this episode, host Govind Kamtamneni welcomes Damian Hasak, who leads the AI Apps GBB team at Microsoft. Damian shares how GitHub Copilot has transformed his creative problem-solving—even as a non-coder—and walks us through a fascinating personal project: No Bark, an AI-powered solution to reduce dog barking during meetings. From leveraging idle GPUs to training models on his own dogs, Damian demonstrates how GitHub Copilot can empower anyone to build practical, real-world solutions. Whether you're an enterprise developer or a curious tinkerer, this episode shows how AI tools can help you go from idea to impact. Chapters: 00:05 - Welcome and guest introduction: Damian Hasak from Azure AI Apps 00:16 - GitHub Copilot: Empowering non-coders 00:36 - Creativity and problem-solving with Copilot 01:10 - The "No Bark" project: A personal AI solution 01:41 - Demo: Dog bark detection and ultrasonic response 02:26 - Training with GPU and fine-tuning for real dogs 03:00 - Real-world testing and family feedback 03:45 - Differentiating live vs. TV dog barks 04:06 - Humane design and open sourcing the solution 04:21 - Wrap-up and GitHub repo announcement What You'll Learn: - How GitHub Copilot supports non-developers in building AI solutions - Creative use cases for Copilot beyond enterprise scenarios - How to train models on custom data (like dog barks!) - Using ultrasonic tones for humane dog behavior correction - The importance of curiosity and experimentation in AI development -

Published 2025-10-15 · Watch on YouTube ↗
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