Sign inGet started
Paper · arXiv

On the Prospects of Dynamic LLM Conversations in Software Development

Large language models (LLMs) have become an essential tool for assisting developers, yet we still lack knowledge on ways to effectively support their interactions during development activities. That is, the quality of interactions with a chat-based LLM still strongly depends on how developers phrase prompts and which information they include. Our goal is to evaluate whether interventions into these interactions with LLMs have an effect on software developers---be it harmful or beneficial. To this end, we conducted a four-month longitudinal study with third-semester computer science students working on a full-stack Web development project using chat-based LLMs under three conditions: (1) a...

AuthorsAnnemarie Wittig, Alina Mailach, Janet Siegmund et al.
Primary categorycs.SE
Published31 August 2026
Last updated at source31 August 2026
cs.SEcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/a9b4284c-c57c-435c-bc5e-f80546d3ac9c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.