New to Robotics - Seeking advice

A robotics newcomer with an Electrical Engineering background has sparked a significant community discussion by asking a fundamental question about AI integration in learning and project development. In a detailed forum post, the user described their current skill level—intermediate Python, beginner C++, and growing familiarity with ROS2/Gazebo/Rviz—while revealing they've deliberately turned off AI suggestions during coursework to better understand core concepts like node structure, troubleshooting, and terminal operations. The central dilemma presented is when and how to incorporate AI tools into project work without compromising foundational understanding, a concern that resonates across the robotics and software engineering communities as AI assistance becomes increasingly sophisticated.

The post highlights a critical tension in modern technical education: balancing the efficiency gains of AI coding assistants (like GitHub Copilot or Claude Code) with the need for deep conceptual understanding in complex fields like robotics. The user's specific questions about project delegation, AI oversight, and maintaining skill development reflect broader industry concerns about how professionals should adapt their learning approaches. This discussion comes at a pivotal moment as robotics increasingly integrates with AI systems, making the question of human-AI collaboration in development workflows particularly relevant for both newcomers and experienced practitioners navigating the rapidly evolving landscape.