Modern code generation tools, utilizing AI models like Large Language Models (LLMs),
have gained popularity for producing functional code. However, their usage presents …

Generative AI tools can provide people with the ability to create virtual environments and
scenes with natural language prompts. Yet, how people will formulate such prompts is …

Large language models (LLMs) bear great potential for automating tedious development
tasks such as creating and maintaining code documentation. However, it is unclear to what …

With the recent advancement of Artificial Intelligence (AI) and Large Language Models
(LLMs), AI-based code generation tools become a practical solution for software …

In today's fast-paced software development environment, Agile methodologies demand
rapid delivery and continuous improvement, making automated testing essential for …

Recent advancements in code generation came with the emergence of Large Language
Models (LLMs). LLMs are deep learning models trained on a large code/text corpus with …

The rapid development of large language models (LLMs) has significantly advanced code
completion capabilities, giving rise to a new generation of LLM-based Code Completion …

As one of the most popular dynamic languages, Python experiences a decrease in
readability and maintainability when code smells are present. Recent advancements in …

Studies show that predictive text entry systems make writing faster, but written content more
predictable. We consider if these trade-offs extend to code synthesis tools such as GitHub …

Integrated Development Environments increasingly implement AI-powered code completion
tools (CCTs), which promise to enhance developer efficiency, accuracy, and productivity …