The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants

About 32% of a software practitioners' day involves seeking and using information to support task completion. Although the information needs of software practitioners have been studied extensively, the impact of AI-assisted tools on their needs and information-seeking behaviors remains largely unexplored. To addresses this gap, we conducted a mixed-method study to understand AI-assisted information seeking behavior of practitioners and its impact on their perceived productivity and skill development. We found that developers are increasingly using AI tools to support their information seeking, citing increased efficiency as a key benefit. Our findings also amplify caveats that come with effectively using AI tools for information seeking, especially for learning and skill development, such as the importance of foundational developer knowledge that can guide and inform the information provided by AI tools. Our efforts have implications for the effective integration of AI tools into developer workflows as information retrieval systems and learning aids.

Authors

Institutions

Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3696630.3731665
Citations
2
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
4.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants

Ebtesam Al Haque, Thomas D. LaToza, Chris Brown, Brittany Johnson
2 citations
Topic Modeling
4.96
article

The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants

Ebtesam Al Haque, Thomas D. LaToza, Chris Brown, Brittany Johnson
article en
2 citations

Abstract

About 32% of a software practitioners' day involves seeking and using information to support task completion. Although the information needs of software practitioners have been studied extensively, the impact of AI-assisted tools on their needs and information-seeking behaviors remains largely unexplored. To addresses this gap, we conducted a mixed-method study to understand AI-assisted information seeking behavior of practitioners and its impact on their perceived productivity and skill development. We found that developers are increasingly using AI tools to support their information seeking, citing increased efficiency as a key benefit. Our findings also amplify caveats that come with effectively using AI tools for information seeking, especially for learning and skill development, such as the importance of foundational developer knowledge that can guide and inform the information provided by AI tools. Our efforts have implications for the effective integration of AI tools into developer workflows as information retrieval systems and learning aids.

George Mason University (US), Virginia Tech (US)
Openalex Percentile: Top 5%
Topic Modeling
4.96
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.

The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants — Ebtesam Al Haque, Thomas D. LaToza, et al. · (2025) | TGRS Research Map | TGRS