Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
LLM Tools for Programming
0
Zitationen
3
Autoren
2025
Jahr
Abstract
The rise of Large Language Model (LLM)– based tools such as ChatGPT, GitHub Copilot, Cursor, and GitHub Copilot Agent is transforming how software is developed. These tools function as intelligent collaborators, capable of generating code, explaining concepts, detecting bugs, and accelerating development workflows. As the software industry increasingly demands graduates who are proficient with modern development environments and tools, ranging from debuggers and version control systems to AI-driven assistants, it becomes essential to incorporate LLM-based tools into computer science education. This article summarizes the most prominent LLM-assisted programming tools. Through selected examples of programming problems, it demonstrates the practical applications of LLM-based assistants and agents. By engaging with these tools, computer science students can prepare for a future in which AI will be an integral part of professional software development.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.339 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.211 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.614 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.478 Zit.