Pinning Decisions Before Failure: Executable Records of Underspecified Choices in AI-Assisted Code Generation
A natural-language requirement leaves questions open, and a model asked to implement it settles them silently: across 600 generated test suites from three models, 42.7% contain no test that distinguishes the competing readings. An acceptance example written before implementing is the usual remedy, but an example both r...