Software usage patterns have always evolved alongside hardware capabilities. In recent years, with the rise of GPUs and cloud-based AI copilots such as GitHub Copilot, this evolution has accelerated — offering developers real-time code suggestions, documentation support, and automated testing at scale. However, concerns around personal data privacy, the cost of copilot usage, and the need for greater autonomy have given rise to local AI copilots.