For years, I was trapped in a cycle of ambitious beginnings and disappointing endings. My GitHub repository had become a digital graveyard of half-completed projects—enthusiastic starts abandoned at the first sign of a significant challenge. But over the past few months, something remarkable has happened: I’m actually finishing what I start, and the catalyst wasn’t a new productivity system or time management technique. It was AI. A Little Background Before diving into my productivity transformation, it helps to understand where I’m coming from.

Over the past few months, I’ve been on a journey to find the perfect code editor that balances excellent developer experience with the productivity boost of AI assistance. This exploration came after I had already spent almost two years using VS Code, which I adopted after ditching Emacs and Neovim in search of a more modern editing experience. My latest search led me through several modern editors, primarily those in the VSCodium family, with some interesting detours along the way.

Anthropic recently published a fascinating paper with an unusual title: “On the Biology of a Large Language Model.” But what does biology have to do with AI? As it turns out, quite a lot. The researchers are essentially performing a digital dissection of Claude’s “brain” to understand how it thinks—and finding surprising parallels to biological systems along the way. In this post, I’ll break down this complex research into digestible parts, explaining how scientists are starting to understand what’s happening inside these AI systems when they answer our questions or write poetry.

The Brazilian National Institute of Industrial Property (INPI) is embarking on a significant transformation of its patent services. A recent presentation detailed plans to replace the current web search system with a comprehensive, unified platform designed to streamline the entire patent process. This initiative promises to enhance efficiency, reduce user errors, and improve the overall experience for patent applicants and stakeholders. Current Challenges in the Brazilian Patent System Currently, the INPI’s patent system relies on several disconnected systems.

We’ve all been there: headphones on, music pumping, fingers flying across the keyboard, lost in the “flow” with your favorite AI agent. This, my friends, is vibe coding. It’s when you’re in the zone, seemingly effortlessly producing code. It’s the idea that you can create great software simply by immersing yourself in the feeling of coding, trusting your intuition and riding the wave of inspiration. But lately, I’ve realized that for me, at least, the vibe is…off.

So, I was watching this video the other day, and it got me thinking… you know, about how everything’s changing with AI. It seems like the old ways of doing things in software are just not cutting it anymore. Remember how companies used to try and, like, trap you in their ecosystem? Make it impossible to leave? That’s software lock-in, and honestly, I think AI is making that a thing of the past.

I needed an easy and cheap option to integrate my vault with artificial intelligence. The easiest option could be to pay for subscriptions, which would be a high cost for me, since I am would not use the service that often to justify. Another option would be to pay for a Cloud GPU service to run big queries that would be unfeasible to run locally. This option seemed too cumbersome for my case.