AI RESEARCH
A Blueprint for Self-Evolving Coding Agents in Vehicle Aerodynamic Drag Prediction
arXiv CS.AI
•
ArXi:2603.21698v1 Announce Type: new High-fidelity vehicle drag evaluation is constrained less by solver runtime than by workflow friction: geometry cleanup, meshing retries, queue contention, and reproducibility failures across teams. We present a contract-centric blueprint for self-evolving coding agents that discover executable surrogate pipelines for predicting drag coefficient $C_d$ under industrial constraints.