--- title: "Robert Degallan (@robertdegallan) | Hashnode" description: "Ex-Microsoft Tech Lead. Read the latest articles by Robert Degallan on Hashnode." url: "https://hashnode.com/@robertdegallan" --- @robertdegallan # Robert Degallan @robertdegallan 路 Joined November 2026 Ex-Microsoft Tech Lead ## Comments [Hi Charles, great article and nice home-lab that you have there 馃帀](https://hashnode.com/posts/homelab-ai-stack/6af0d5c180c985a8be1119b3/comment/6af24115d33f19b0aeb8132c) Comment 路 Article 路 2d ago 路 1 路 [The 2026 Homelab AI Stack: What's Worth Running](https://hashnode.com/posts/homelab-ai-stack/6af0d5c180c985a8be1119b3) [Hi Charlie, great article. Please give us a second one on what you are doing with Local AI 馃帀](https://hashnode.com/posts/why-i-switched-to-local-ai-and-why-you-should-too/698a16e5c14dc229a5b449fd/comment/6af240480be8a10bf436bdc1) Comment 路 Article 路 2d ago 路 [Why I Switched to Local AI (And Why You Should Too)](https://hashnode.com/posts/why-i-switched-to-local-ai-and-why-you-should-too/698a16e5c14dc229a5b449fd) [Hi Angie, great article :) Stopping slop at the source is the way to go! But we also have to ask ourselves, why does AI-slop actually exist? I recently published a post that briefly touches on this and discusses the most promising future for cheap, local AI-driven software engineering according to some interesting findings by my research agents.](https://hashnode.com/posts/how-do-ai-native-developers-recommend-generating-less-sloppy-contributions/6aefe543fe9f8903e4df0439/comment/6af240370be8a10bf436bcdb) Comment 路 Article 路 2d ago 路 [How do AI-native developers recommend generating less "sloppy" contributions?](https://hashnode.com/posts/how-do-ai-native-developers-recommend-generating-less-sloppy-contributions/6aefe543fe9f8903e4df0439) [Hi Dragos, great article and video showcasing the capabilities of the Raspberry Pi for local inference 馃憦](https://hashnode.com/posts/running-a-billion-parameter-model-lfm3-1-7b-on-a-raspberry-pi/6aeb5f5bc70a133bf2cb160d/comment/6af23681f421139d5b784866) Comment 路 Article 路 2d ago 路 1 路 [Running A Billion Parameter Model (LFM3 1.7B) on a Raspberry Pi](https://hashnode.com/posts/running-a-billion-parameter-model-lfm3-1-7b-on-a-raspberry-pi/6aeb5f5bc70a133bf2cb160d)