SOURCE-LINKED INTELLIGENCE

CROCODIL: Cross-Model Code Editing with LLMs

arXiv · AI, language, vision and robotics · article · Sep 3, 2026 · UTC

Large language models (LLMs) have become ubiquitous tools for code generation and editing. However, development teams often use multiple LLM assistants. Different developers may prefer different models, and individual developers may switch between models across different coding sessions. Because of this, the edits any one model makes are frequently applied to foreign code originally generated by another model. These LLMs are often trained on different datasets, and as a result have different stylistic preferences. Do LLMs behave differently when they edit foreign code originally written by a d

Read original source ↗ Open in workspace

recordType

paper

region

Global