This initiative emerged from challenges I observed while teaching and evaluating student work. It focuses on addressing the steep learning curve associated with various tools and technical environments. These challenges often divert students’ attention from mastering core concepts and developing problem-solving skills, or significantly increase the time required to produce detailed, well-structured solutions. It is worth emphasizing that the goal is not to undermine the essential technical skills expected in Computer Science, which are integral to the discipline. Rather, the aim is to reduce avoidable friction that hinders conceptual learning. One example is the time and effort students spend formatting their work in LaTeX, which can overshadow the underlying reasoning and problem-solving process. To address this issue, I aim to develop AI-powered tools that streamline the learning process, making technical tools and languages more accessible. By leveraging Large Language Models (LLMs), these tools will reduce the cognitive load on students, enabling them to focus on understanding key concepts rather than becoming bogged down in unnecessary technical details. My ultimate goal is to assist students in the classroom setting and beyond, adapting to their individual learning paces and offering actionable, detailed feedback when needed.