Reliable and Developer-Aligned Evaluation of Agents for Software Engineering
Large language models are rapidly moving towards closing the development cycle, transitioning from simple assistive companions to autonomous contributors deeply embedded into collaborative development environments. Despite their accelerated adoption, existing evaluation techniques are limited due to their fragmented nature and distorted projection of true model capabilities, often obtained from hypothetical syntactic scenarios. This research aims to bridge this gap by providing a comprehensive e
Record details
Published: 7 July 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (7 July 2026), “Reliable and Developer-Aligned Evaluation of Agents for Software Engineering,” evidence record 145, https://ethics.ai/record/145 (originally published by arXiv).
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