Who is using AI to code? Global diffusion and impact of generative AI
Fuente:
arXiv
Saved in:
| Main Authors: | Daniotti, Simone, Wachs, Johannes, Feng, Xiangnan, Neffke, Frank |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Using digital traces to analyze software work: skills, careers and programming languages
by: Feng, Xiangnan, et al.
Published: (2025)
by: Feng, Xiangnan, et al.
Published: (2025)
The Coherence of US cities
by: Daniotti, Simone, et al.
Published: (2025)
by: Daniotti, Simone, et al.
Published: (2025)
Anchor Sponsor Firms in Open Source Software Ecosystems
by: Németh, Brigitta, et al.
Published: (2025)
by: Németh, Brigitta, et al.
Published: (2025)
Bringing AI into the Classroom: A Structured Approach for Integrating AI into Software Engineering Education
by: Groher, Iris, et al.
Published: (2026)
by: Groher, Iris, et al.
Published: (2026)
On Regulating Downstream AI Developers
by: Williams, Sophie, et al.
Published: (2025)
by: Williams, Sophie, et al.
Published: (2025)
Learning to Program Alongside AI: Critical Thinking, AI Ethics, and Gendered Patterns of German Secondary School Students
by: Graßl, Isabella
Published: (2026)
by: Graßl, Isabella
Published: (2026)
A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration
by: Neumann, Michael, et al.
Published: (2026)
by: Neumann, Michael, et al.
Published: (2026)
Causal symmetrization as an empirical signature of operational autonomy in complex systems
by: Gosme, Anthony
Published: (2025)
by: Gosme, Anthony
Published: (2025)
SARC: A Governance-by-Architecture Framework for Agentic AI Systems
by: Besanson, Gaston
Published: (2026)
by: Besanson, Gaston
Published: (2026)
How frontier AI companies could implement an internal audit function
by: Gomez, Francesca, et al.
Published: (2025)
by: Gomez, Francesca, et al.
Published: (2025)
Generative AI Adoption in an Energy Company: Exploring Challenges and Use Cases
by: Sami, Malik Abdul, et al.
Published: (2026)
by: Sami, Malik Abdul, et al.
Published: (2026)
What Should Frontier AI Developers Disclose About Internal Deployments?
by: Charnock, Jacob, et al.
Published: (2026)
by: Charnock, Jacob, et al.
Published: (2026)
The Case for Contextual Copyleft: Licensing Open Source Training Data and Generative AI
by: Shanklin, Grant, et al.
Published: (2025)
by: Shanklin, Grant, et al.
Published: (2025)
Designing for Novice Debuggers: A Pilot Study on an AI-Assisted Debugging Tool
by: Kurniawan, Oka, et al.
Published: (2025)
by: Kurniawan, Oka, et al.
Published: (2025)
Design and Deployment of a Course-Aware AI Tutor in an Introductory Programming Course
by: Groher, Iris, et al.
Published: (2026)
by: Groher, Iris, et al.
Published: (2026)
Towards More Empathic Programming Environments: An Experimental Empathic AI-Enhanced IDE
by: Go, Justin Rainier, et al.
Published: (2026)
by: Go, Justin Rainier, et al.
Published: (2026)
From Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education
by: Hu, Tong, et al.
Published: (2025)
by: Hu, Tong, et al.
Published: (2025)
Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
by: Treude, Christoph, et al.
Published: (2026)
by: Treude, Christoph, et al.
Published: (2026)
Teaching Requirements Engineering for AI: A Goal-Oriented Approach in Software Engineering Courses
by: Batista, Beatriz, et al.
Published: (2024)
by: Batista, Beatriz, et al.
Published: (2024)
Question and Answer posts on Stack Overflow
by: Feng, Xiangnan, et al.
Published: (2025)
by: Feng, Xiangnan, et al.
Published: (2025)
A governance horizon for ethical-use constraints in open-weight AI models
by: Xu, Weiwei, et al.
Published: (2026)
by: Xu, Weiwei, et al.
Published: (2026)
Foundational Competencies and Responsibilities of a Research Software Engineer: Current State and Suggestions for Future Directions
by: Goth, Florian, et al.
Published: (2023)
by: Goth, Florian, et al.
Published: (2023)
AI Act for the Working Programmer
by: Hermanns, Holger, et al.
Published: (2024)
by: Hermanns, Holger, et al.
Published: (2024)
Software Engineering Methods For AI-Driven Deductive Legal Reasoning
by: Padhye, Rohan
Published: (2024)
by: Padhye, Rohan
Published: (2024)
Impact of AI-tooling on the Engineering Workspace
by: Chretien, Lena, et al.
Published: (2024)
by: Chretien, Lena, et al.
Published: (2024)
Insights from Publishing Open Data in Industry-Academia Collaboration
by: Strandberg, Per Erik, et al.
Published: (2025)
by: Strandberg, Per Erik, et al.
Published: (2025)
AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
by: Mohammed, Muzakkiruddin Ahmed, et al.
Published: (2026)
by: Mohammed, Muzakkiruddin Ahmed, et al.
Published: (2026)
LeafTutor: An AI Agent for Programming Assignment Tutoring
by: Bochard, Madison, et al.
Published: (2025)
by: Bochard, Madison, et al.
Published: (2025)
Balancing Innovation and Ethics in AI-Driven Software Development
by: Baqar, Mohammad
Published: (2024)
by: Baqar, Mohammad
Published: (2024)
Evaluating the Effectiveness of OpenAI's Parental Control System
by: Ersoz, Kerem, et al.
Published: (2026)
by: Ersoz, Kerem, et al.
Published: (2026)
Trustworthy AI in practice: an analysis of practitioners' needs and challenges
by: Baldassarre, Maria Teresa, et al.
Published: (2024)
by: Baldassarre, Maria Teresa, et al.
Published: (2024)
Scaling CS1 Support with Compiler-Integrated Conversational AI
by: Renzella, Jake, et al.
Published: (2024)
by: Renzella, Jake, et al.
Published: (2024)
$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection
by: Orel, Daniil, et al.
Published: (2025)
by: Orel, Daniil, et al.
Published: (2025)
Do Generative AI Tools Ensure Green Code? An Investigative Study
by: Sikand, Samarth, et al.
Published: (2025)
by: Sikand, Samarth, et al.
Published: (2025)
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
by: Pant, Aastha, et al.
Published: (2024)
by: Pant, Aastha, et al.
Published: (2024)
Bridging the Skills Gap: A Course Model for Modern Generative AI Education
by: Bardach, Anya, et al.
Published: (2025)
by: Bardach, Anya, et al.
Published: (2025)
Understanding Student Interaction with AI-Powered Next-Step Hints: Strategies and Challenges
by: Birillo, Anastasiia, et al.
Published: (2025)
by: Birillo, Anastasiia, et al.
Published: (2025)
Choosing the Right Path for AI Integration in Engineering Companies: A Strategic Guide
by: Dzhusupova, Rimma, et al.
Published: (2023)
by: Dzhusupova, Rimma, et al.
Published: (2023)
To Err is AI : A Case Study Informing LLM Flaw Reporting Practices
by: McGregor, Sean, et al.
Published: (2024)
by: McGregor, Sean, et al.
Published: (2024)
Rapid Mobile App Development for Generative AI Agents on MIT App Inventor
by: Gao, Jaida, et al.
Published: (2024)
by: Gao, Jaida, et al.
Published: (2024)
Similar Items
-
Using digital traces to analyze software work: skills, careers and programming languages
by: Feng, Xiangnan, et al.
Published: (2025) -
The Coherence of US cities
by: Daniotti, Simone, et al.
Published: (2025) -
Anchor Sponsor Firms in Open Source Software Ecosystems
by: Németh, Brigitta, et al.
Published: (2025) -
Bringing AI into the Classroom: A Structured Approach for Integrating AI into Software Engineering Education
by: Groher, Iris, et al.
Published: (2026) -
On Regulating Downstream AI Developers
by: Williams, Sophie, et al.
Published: (2025)