most citedUnderstanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Developing a Roadmap to an AI-first Organization: A Case Study in Embedded Software Development

Viktor Kjellberg, Srijita Basu, Simin Sun +2

The emergence of AI agents is expected to reshape software engineering by moving beyond AI as assistants towards systems capable of planning, executing, and evaluating development…

cs.SE2026

Strategies for Guiding LLMs to Use Software Design Patterns: A Case of Singleton

Viktor Kjellberg, Farnaz Fotrousi, Miroslaw Staron

Large Language Models (LLMs) can generate functional source code from natural-language prompts, but often fail to consistently follow higher-level architectural structures or desig…

cs.SE2026★ 1 cited

Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development

Srijita Basu, Viktor Kjellberg, Simin Sun +5

Large Language Models (LLMs) are increasingly applied to software engineering (SE), yet their potential for autonomous, role-oriented collaboration remains largely underexplored. U…

cs.SE2026

From LLMs to Agents in Programming: The Impact of Providing an LLM with a Compiler

Viktor Kjellberg, Miroslaw Staron, Farnaz Fotrousi

Large Language Models have demonstrated a remarkable capability in natural language and program generation and software development. However, the source code generated by the LLMs…

cs.LG2024

Reasoning in Transformers -- Mitigating Spurious Correlations and Reasoning Shortcuts

Daniel Enström, Viktor Kjellberg, Moa Johansson

Transformer language models are neural networks used for a wide variety of tasks concerning natural language, including some that also require logical reasoning. However, a transfo…