Agentic AI Software Engineers: Programming with Trust

How LLM agents present AI software engineering workflows of the future, and whether the focus of programming will shift from scale to trust.

Authors

Institutions

Publication Details

Journal
Communications of the ACM
Published
2026-04-01
DOI
https://doi.org/10.1145/3769314
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Agentic AI Software Engineers: Programming with Trust

Michael Pradel, Abhik Roychoudhury, Baishakhi Ray, Corina S. Pasareanu
Communications of the ACM
Multi-Agent Systems and Negotiation
article

Agentic AI Software Engineers: Programming with Trust

Michael Pradel, Abhik Roychoudhury, Baishakhi Ray, Corina S. Pasareanu
article en

Abstract

How LLM agents present AI software engineering workflows of the future, and whether the focus of programming will shift from scale to trust.

Communications of the ACMVol. 69(5)
Ames Research Center (US), KBR (United States) (US), National University of Singapore (SG), Helmholtz Center for Information Security (DE), Carnegie Mellon University (US), Columbia University (US)
Ministry of Education - Singapore
Openalex Percentile: Top 28%
Multi-Agent Systems and Negotiation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.