3 citations · 5 across the 5 of their papers we have counts for
6 papers
For Coding Agents, the Repository Matters
Daniel Russo
In July 2026, about 1,200 AI agents in an internal OpenAI evaluation, meant to run in isolation, used a shared package server as a message board, and about 700 of them joined an at…
More Is Different: Toward a Theory of Emergence in AI-Native Software Ecosystems
Daniel Russo
Software engineering faces a fundamental challenge: multi-agent AI systems fail in ways that defy explanation by traditional theories. While individual agents perform correctly, th…
From Challenge to Change: Design Principles for AI Transformations
Theocharis Tavantzis, Stefano Lambiase, Daniel Russo +1
The rapid rise of Artificial Intelligence (AI) is reshaping Software Engineering (SE), creating new opportunities while introducing human-centered challenges. Although prior work n…
Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Sebastian Baltes, Florian Angermeir, Chetan Arora +19
Large Language Models (LLMs) are widely used in software engineering (SE) research and practice, yet their non-determinism, opaque training data, and rapidly evolving models threat…
AI University: An LLM-Powered Learning Assistant for Engineering---A Finite Element Method Case Study
Mostafa Faghih Shojaei, Rahul Gulati, Benjamin A. Jasperson +6
We introduce AI University (AI-U), a flexible framework for AI-driven course content delivery that adapts to a course's instructional style. AI-U combines a fine-tuned large langua…
Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering
Stefano Lambiase, Gemma Catolino, Fabio Palomba +2
As a socio-technical activity, software development involves the close interconnection of people and technology. The integration of Large Language Models (LLMs) into this process e…