arXiv CS
open access
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, b
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Pinning Decisions Before Failure: Executable Records of Underspecified Choices in AI-Assisted Code Generation#1187915
- Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-Driven Code Generation#1141217
- ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation#798985
- ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation#797571
- Trace Grafting: Cross-Model Reasoning in Large Language Model Code Generation#1092500
Record · ID 1181702
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive