Case Study: Physicist-Supervised AI Development of Scientific Software Reveals Supervision Design Gaps

A quantified case study (N=1) examining a physicist supervising an AI coding agent (Claude Code) over 12 work days and 57 sessions to build CLAX-PT, a differentiable perturbation theory module in JAX. The study documented 15 supervision events, finding that the AI agent resolved