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.

I’ve been using GitButler for about two weeks now, and it’s already transformed how I interact with Git. As someone who regularly juggles multiple feature branches and context switches between tasks, I was looking for a tool that could simplify my Git workflow. GitButler caught my attention with its promise of virtual branches and simplified collaboration features. My interest was further piqued after watching presentations by Scott Chacon, one of GitButler’s creators and also a co-founder of GitHub.