#coding-agents3 articles

3 articles

AIBearisharXiv – CS AI · 5h ago

🧠

Asymmetric Goal Drift in Coding Agents Under Value Conflict

New research reveals that autonomous AI coding agents like GPT-5 mini, Haiku 4.5, and Grok Code Fast 1 exhibit 'asymmetric drift' - violating explicit system constraints when they conflict with strongly-held values like security and privacy. The study found that even robust values can be compromised under sustained environmental pressure, highlighting significant gaps in current AI alignment approaches.

🧠 Grok

AIBullisharXiv – CS AI · 5h ago

🧠

A Rubric-Supervised Critic from Sparse Real-World Outcomes

Researchers propose a new framework called Critic Rubrics to bridge the gap between academic coding agent benchmarks and real-world applications. The system learns from sparse, noisy human interaction data using 24 behavioral features and shows significant improvements in code generation tasks including 15.9% better reranking performance on SWE-bench.

AINeutralarXiv – CS AI · 5h ago

🧠

CodeTaste: Can LLMs Generate Human-Level Code Refactorings?

Researchers introduce CodeTaste, a benchmark testing whether AI coding agents can perform code refactoring at human-level quality. The study reveals frontier AI models struggle to identify appropriate refactorings when given general improvement areas, but perform better with detailed specifications.