On the Prospects of Dynamic LLM Conversations in Software Development
Quick summary
arXiv:2608.30756v1 Announce Type: cross Abstract: 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 stud
Key takeaways
- arXiv:2608.30756v1 Announce Type: cross Abstract: 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.
Why it matters
“On the Prospects of Dynamic LLM Conversations in Software Development” is a product decision that may change how people work with AI. Its value depends on task completion, correction effort and data handling—not simply the presence of a new feature.
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