Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback

In three linesSelf-improving CAD agents using finite element analysis (FEA) as feedback. Codex (GPT-5.5) and Claude Code (Opus-4.7) models produce no valid artifacts on first attempt; only ~20% of requirements met. Two supervision signals (text blueprint schema and 21-view renderer) improve iterative loops: Box-IoU rises from 0.444 to 0.592 on S2O.

Summary generated by Claude — human-verified