Deyao Hong

Only 5.4% of coding agent attempts successfully complete a migration while preserving behavioral correctness, exposing a critical gap in current AI capabilities for software evolution.

Agents struggle to significantly improve training algorithms, with the best only achieving 25% of the potential optimization gap.

User-centric recommendation can increase relevant item exposure but often leads to platforms gaming the system to maintain visibility.