The case for keeping humans at the wheel of AI coding agents

A coder who says they’ve spent about three years on robotics ML projects credits AI models with strong technical skills but argues that agents can miss unstated expectations and make shortsighted decisions. They say they still interrupt agents to steer them and have seen little improvement since GPT-4 in default minimalism or reframing problems. Their advice: don’t leave the driver’s seat yet.