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AI-Driven Software Development: Promise, Peril, and the Path Forward
The landscape of software development is undergoing a fundamental shift. Artificial intelligence has emerged as a powerful accelerant, capable of compressing what once took weeks into a matter of hours. A feature that might have consumed two weeks of a developer’s time can now be roughed out before lunch. This is not hyperbole or marketing… Continue reading
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Let’s Test Drive Google’s Antigravity
I’ve been using JetBrains IDEs for years. I’ve always preferred full blown IDEs to editors like vsCode as it had more powerful features. (though vsCode has come a very long way!) Now companies are expanding on vsCode creating fully AI driven tools like Cursor and now Google’s Antigravity. I installed Cursor a while back, but… Continue reading
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First AI Test Drive with the Framework Desktop
For those of us experimenting with local Large Language Models (LLMs), the hardware ceiling is almost always defined by video memory. My current workstations, equipped with a 3060 Ti (8GB) and a 5070 Ti OC (16GB), are excellent for daily tasks and gaming, but they hit a hard wall when attempting to load anything beyond… Continue reading
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Jupyter Notebooks: A Powerful Yet Flawed Tool for Teaching Application Programming
Jupyter notebooks have become a staple in data science and machine learning workflows, offering an interactive environment where code, visualizations, and narrative text coexist in a single document. Their ability to execute code cell by cell allows users to experiment rapidly, tweak parameters, and observe results in real time, which is especially valuable when exploring… Continue reading
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Unlocking Large Language Models at Home
Large language models have traditionally been something you associate with data centers packed full of GPUs. Models with over 100 billion parameters usually seem far beyond the reach of a home PC, even a well-equipped “gaming” PC. Having enough memory to load such a model being probably the largest roadblock. Thankfully, between my professional work… Continue reading
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Navigating n8n: The Promise and Perils of Workflow Automation
A fascinating trend has emerged on platforms like Reddit, where individuals are diving into the world of n8n, an open-source workflow automation tool. Many are not only learning to create workflows but are also monetizing their skills by selling these solutions to small businesses. While this presents a promising opportunity for both creators and businesses,… Continue reading
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Is it just me?
Okay, let’s be honest, the internet feels a little…weird these days. We’re used to Google tracking our searches, Facebook knowing our friends, and Amazon suggesting what we might want to buy. But now, it feels like the conversation is shifting, and it’s creeping into the very core of how we experience the web: our browsers.… Continue reading
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What AI Looks Like
So, I was toying around with Juggernaut XL model by RunDiffusion and I decided to ask it the following question. “Create a realistic picture that represents what you would look like.” The image above was the result. Continue reading
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QNAP CSI Driver and Kubernetes, A Match Made in Permissions Hell
I’ve been running some services that utilize AI Agents and wanted to request history for the agents to use and while there are several types of storage to use, PostgreSQL is one of the most recommended. Since I’m only using it to provide limited history I didn’t want to run a full VM to host… Continue reading
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ChatGPT In Your Discord Server using n8n
So, everyone is going stir-crazy over these AI Agents like ChatGPT, Google Gemini, and Claude. I figured as a project and learning experience. I would write a Discord bot in Python and use webhooks to allow it to talk to my n8n deployment to interact with ChatGPT and respond to the Discord channel Well, I… Continue reading
