2 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
Let the Agent Do It? How Software Practitioners Understand and Make Permission Decisions in Agentic AI Assistants
Larissa Salerno, Haoyu Gao, Gregory Gay +2
Agentic AI assistants increasingly act on developers' behalf by modifying files, executing commands, and accessing external resources. These actions often require permission, yet l…
ARGUS: MCP-Grounded Root Cause Analysis for Kubernetes Incidents
Ergi Senja, Seyed Mohammad Reza Razavi Zadegan, Philipp Leitner
Kubernetes incident triage requires correlating signals from metrics, logs, container state, and messaging systems across multiple monitoring tools, a fragmented workflow that slow…
Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code
Ranim Khojah, Francisco Gomes de Oliveira Neto, Mazen Mohamad +2
Modern software development increasingly involves the use of large language models (LLMs) to generate code. Despite their rapid advancement, LLMs remain prone to errors and halluci…
Patterns of Developer Adoption of LLM-Generated Code Refactoring Suggestions
David Schön, Faiza Amjad, Tehreem Asif +4
Large language models (LLMs) have gained widespread popularity and have steadily improved over time, enabling software developers to use them for various code-related tasks. One co…