Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Valerie, He, Jasmyn, Williams, Behnjamin, Valentino, Jason, Talwalkar, Ameet |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows
by: Chen, Valerie, et al.
Published: (2025)
by: Chen, Valerie, et al.
Published: (2025)
Comparing Developer and LLM Biases in Code Evaluation
by: Mittal, Aditya, et al.
Published: (2026)
by: Mittal, Aditya, et al.
Published: (2026)
Copilot Arena: A Platform for Code LLM Evaluation in the Wild
by: Chi, Wayne, et al.
Published: (2025)
by: Chi, Wayne, et al.
Published: (2025)
EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits
by: Chi, Wayne, et al.
Published: (2025)
by: Chi, Wayne, et al.
Published: (2025)
CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development
by: Mowar, Peya, et al.
Published: (2025)
by: Mowar, Peya, et al.
Published: (2025)
Harnessing the Potential of Gen-AI Coding Assistants in Public Sector Software Development
by: Ng, Kevin KB, et al.
Published: (2024)
by: Ng, Kevin KB, et al.
Published: (2024)
Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise
by: Weisz, Justin D., et al.
Published: (2024)
by: Weisz, Justin D., et al.
Published: (2024)
DeputyDev -- AI Powered Developer Assistant: Breaking the Code Review Logjam through Contextual AI to Boost Developer Productivity
by: Khare, Vishal, et al.
Published: (2025)
by: Khare, Vishal, et al.
Published: (2025)
Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants
by: Piskala, Deepak Babu
Published: (2026)
by: Piskala, Deepak Babu
Published: (2026)
Does Co-Development with AI Assistants Lead to More Maintainable Code? A Registered Report
by: Borg, Markus, et al.
Published: (2024)
by: Borg, Markus, et al.
Published: (2024)
GameDevBench: Evaluating Agentic Capabilities Through Game Development
by: Chi, Wayne, et al.
Published: (2026)
by: Chi, Wayne, et al.
Published: (2026)
RubberDuckBench: A Benchmark for AI Coding Assistants
by: Mohammed, Ferida, et al.
Published: (2026)
by: Mohammed, Ferida, et al.
Published: (2026)
Assessing AI-Based Code Assistants in Method Generation Tasks
by: Corso, Vincenzo, et al.
Published: (2024)
by: Corso, Vincenzo, et al.
Published: (2024)
How Are We Doing With Using AI-Based Programming Assistants For Privacy-Related Code Generation? The Developers' Experience
by: Madampe, Kashumi, et al.
Published: (2025)
by: Madampe, Kashumi, et al.
Published: (2025)
AI-Augmented CI/CD Pipelines: From Code Commit to Production with Autonomous Decisions
by: Baqar, Mohammad, et al.
Published: (2025)
by: Baqar, Mohammad, et al.
Published: (2025)
The Impact of AI Coding Assistants on Software Engineering: A Longitudinal Study
by: Vella, Annie, et al.
Published: (2026)
by: Vella, Annie, et al.
Published: (2026)
Harnessing Hype to Teach Empirical Thinking: An Experience With AI Coding Assistants
by: Wyrich, Marvin, et al.
Published: (2026)
by: Wyrich, Marvin, et al.
Published: (2026)
Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study
by: Vukovic, Maja, et al.
Published: (2026)
by: Vukovic, Maja, et al.
Published: (2026)
Lessons from Building StackSpot AI: A Contextualized AI Coding Assistant
by: Pinto, Gustavo, et al.
Published: (2023)
by: Pinto, Gustavo, et al.
Published: (2023)
Production-Grade AI Coding System for Client-Side Development
by: Wang, Ruihan, et al.
Published: (2026)
by: Wang, Ruihan, et al.
Published: (2026)
Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants
by: Corso, Vincenzo, et al.
Published: (2024)
by: Corso, Vincenzo, et al.
Published: (2024)
Disrupting Test Development with AI Assistants
by: Joshi, Vijay, et al.
Published: (2024)
by: Joshi, Vijay, et al.
Published: (2024)
Inducing Vulnerable Code Generation in LLM Coding Assistants
by: Zeng, Binqi, et al.
Published: (2025)
by: Zeng, Binqi, et al.
Published: (2025)
MultiMind: A Plug-in for the Implementation of Development Tasks Aided by AI Assistants
by: Donato, Benedetta, et al.
Published: (2025)
by: Donato, Benedetta, et al.
Published: (2025)
On the Need to Rethink Trust in AI Assistants for Software Development: A Critical Review
by: Baltes, Sebastian, et al.
Published: (2025)
by: Baltes, Sebastian, et al.
Published: (2025)
Detecting Multiple Semantic Concerns in Tangled Code Commits
by: Koh, Beomsu, et al.
Published: (2026)
by: Koh, Beomsu, et al.
Published: (2026)
Brevity is the Soul of Wit: Condensing Code Changes to Improve Commit Message Generation
by: Kuang, Hongyu, et al.
Published: (2025)
by: Kuang, Hongyu, et al.
Published: (2025)
Collaborator or Assistant? How AI Coding Agents Partition Work Across Pull Request Lifecycles
by: Jo, Young, et al.
Published: (2026)
by: Jo, Young, et al.
Published: (2026)
AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development
by: Agarwal, Shyam, et al.
Published: (2026)
by: Agarwal, Shyam, et al.
Published: (2026)
How Agentic AI Coding Assistants Become the Attacker's Shell
by: Liu, Yue, et al.
Published: (2026)
by: Liu, Yue, et al.
Published: (2026)
Beyond Code Generation: Assessing Code LLM Maturity with Postconditions
by: He, Fusen, et al.
Published: (2024)
by: He, Fusen, et al.
Published: (2024)
CodeMapper: A Language-Agnostic Approach to Mapping Code Regions Across Commits
by: Hu, Huimin, et al.
Published: (2025)
by: Hu, Huimin, et al.
Published: (2025)
Beyond AI Delegation: A Prompt Pattern Framework for Productive Struggle and Evaluative Judgement in Secure Coding Education
by: Haindl, Philipp, et al.
Published: (2026)
by: Haindl, Philipp, et al.
Published: (2026)
An Empirical Study of Proactive Coding Assistants in Real-World Software Development
by: Li, Lehui, et al.
Published: (2026)
by: Li, Lehui, et al.
Published: (2026)
The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
by: Mozannar, Hussein, et al.
Published: (2024)
by: Mozannar, Hussein, et al.
Published: (2024)
Students' Perspective on AI Code Completion: Benefits and Challenges
by: Takerngsaksiri, Wannita, et al.
Published: (2023)
by: Takerngsaksiri, Wannita, et al.
Published: (2023)
Forecasting Developer Environments with GenAI: A Research Perspective
by: Kula, Raula Gaikovina, et al.
Published: (2026)
by: Kula, Raula Gaikovina, et al.
Published: (2026)
Help Me to Understand this Commit! -- A Vision for Contextualized Code Reviews
by: Unterkalmsteiner, Michael, et al.
Published: (2024)
by: Unterkalmsteiner, Michael, et al.
Published: (2024)
Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
by: Xiong, Bo, et al.
Published: (2025)
by: Xiong, Bo, et al.
Published: (2025)
An Empirical Analysis of Git Commit Logs for Potential Inconsistency in Code Clones
by: Yokomori, Reishi, et al.
Published: (2024)
by: Yokomori, Reishi, et al.
Published: (2024)
Similar Items
-
Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows
by: Chen, Valerie, et al.
Published: (2025) -
Comparing Developer and LLM Biases in Code Evaluation
by: Mittal, Aditya, et al.
Published: (2026) -
Copilot Arena: A Platform for Code LLM Evaluation in the Wild
by: Chi, Wayne, et al.
Published: (2025) -
EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits
by: Chi, Wayne, et al.
Published: (2025) -
CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development
by: Mowar, Peya, et al.
Published: (2025)