Analyzing Human-LLM Coding Collaboration: A Field Study of Multi-Turn Interactions

Research #LLM Coding 🔬 Research|Analyzed: Jan 10, 2026 12:02•

Published: Dec 11, 2025 10:14

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1 min read

Analysis

This ArXiv paper provides valuable insights into how humans and Large Language Models (LLMs) collaborate in real-world coding scenarios. The empirical study of multi-turn conversations is crucial for understanding the practical applications and limitations of LLMs in software development.

Key Takeaways

•The research examines how developers and LLMs interact in coding tasks.
•The study likely analyzes the effectiveness and challenges of this collaboration.
•Findings can inform the design of better coding tools powered by LLMs.

Reference / Citation

"The study focuses on multi-turn conversations in the wild."

A

ArXivDec 11, 2025 10:14

* Cited for critical analysis under Article 32.

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