Copertina

Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Valerie, Talwalkar, Ameet, Brennan, Robert, Neubig, Graham
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Beyond the Commit: Developer Perspectives on Productivity with AI Coding Assistants
di: Chen, Valerie, et al.
Pubblicazione: (2026)

EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits
di: Chi, Wayne, et al.
Pubblicazione: (2025)

Comparing Developer and LLM Biases in Code Evaluation
di: Mittal, Aditya, et al.
Pubblicazione: (2026)

Copilot Arena: A Platform for Code LLM Evaluation in the Wild
di: Chi, Wayne, et al.
Pubblicazione: (2025)

"Show Me You Comply... Without Showing Me Anything": Zero-Knowledge Software Auditing for AI-Enabled Systems
di: Scaramuzza, Filippo, et al.
Pubblicazione: (2025)

How Do Software Developers Use GitHub Actions to Automate Their Workflows?
di: Kinsman, Timothy, et al.
Pubblicazione: (2021)

Help Me to Understand this Commit! -- A Vision for Contextualized Code Reviews
di: Unterkalmsteiner, Michael, et al.
Pubblicazione: (2024)

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
di: Wang, Yanlin, et al.
Pubblicazione: (2024)

Transforming Software Development with Generative AI: Empirical Insights on Collaboration and Workflow
di: Ulfsnes, Rasmus, et al.
Pubblicazione: (2024)

Training Versatile Coding Agents in Synthetic Environments
di: Zhu, Yiqi, et al.
Pubblicazione: (2025)

Code4MeV2: a Research-oriented Code-completion Platform
di: Koohestani, Roham, et al.
Pubblicazione: (2025)

GameDevBench: Evaluating Agentic Capabilities Through Game Development
di: Chi, Wayne, et al.
Pubblicazione: (2026)

The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents
di: Wang, Xingyao, et al.
Pubblicazione: (2025)

How Software Engineers Engage with AI: A Pragmatic Workflow
di: Garousi, Vahid, et al.
Pubblicazione: (2025)

TOM-SWE: User Mental Modeling For Software Engineering Agents
di: Zhou, Xuhui, et al.
Pubblicazione: (2025)

StatsClaw: An AI-Collaborative Workflow for Statistical Software Development
di: Qin, Tianzhu, et al.
Pubblicazione: (2026)

ROS-related Robotic Systems Development with V-model-based Application of MeROS Metamodel
di: Winiarski, Tomasz, et al.
Pubblicazione: (2025)

From Today's Code to Tomorrow's Symphony: The AI Transformation of Developer's Routine by 2030
di: Qiu, Ketai, et al.
Pubblicazione: (2024)

Bridging Design and Development with Automated Declarative UI Code Generation
di: Zhou, Ting, et al.
Pubblicazione: (2024)

Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks
di: Vijayvargiya, Sanidhya, et al.
Pubblicazione: (2026)

CodeR3: A GenAI-Powered Workflow Repair and Revival Ecosystem
di: Zaman, Asif, et al.
Pubblicazione: (2025)

Modeling Sampling Workflows for Code Repositories
di: Lefeuvre, Romain, et al.
Pubblicazione: (2026)

ReadMe.LLM: A Framework to Help LLMs Understand Your Library
di: Wijaya, Sandya, et al.
Pubblicazione: (2025)

Keep Me Updated: An Empirical Study of Proprietary Vendor Blobs in Android Firmware
di: Wen, Elliott, et al.
Pubblicazione: (2024)

An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow
di: Yasmin, Jerin, et al.
Pubblicazione: (2024)

Does Co-Development with AI Assistants Lead to More Maintainable Code? A Registered Report
di: Borg, Markus, et al.
Pubblicazione: (2024)

CodeRAG-Bench: Can Retrieval Augment Code Generation?
di: Wang, Zora Zhiruo, et al.
Pubblicazione: (2024)

Polymer: Development Workflows as Software
di: Parthasarathy, Dhasarathy, et al.
Pubblicazione: (2025)

Can You Mimic Me? Exploring the Use of Android Record & Replay Tools in Debugging
di: Song, Zihe, et al.
Pubblicazione: (2025)

Don't Disturb Me: Challenges of Interacting with SoftwareBots on Open Source Software Projects
di: Wessel, Mairieli, et al.
Pubblicazione: (2021)

Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example
di: Dilhara, Malinda, et al.
Pubblicazione: (2024)

BitsAI-CR: Automated Code Review via LLM in Practice
di: Sun, Tao, et al.
Pubblicazione: (2025)

CrackMeBench: Binary Reverse Engineering for Agents
di: David, Isaac, et al.
Pubblicazione: (2026)

The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers
di: Mozannar, Hussein, et al.
Pubblicazione: (2024)

Comment Traps: How Defective Commented-out Code Augment Defects in AI-Assisted Code Generation
di: Huang, Yuan, et al.
Pubblicazione: (2025)

An Exploratory Eye Tracking Study on How Developers Classify and Debug Python Code in Different Paradigms
di: Flint, Samuel W., et al.
Pubblicazione: (2025)

How Are We Doing With Using AI-Based Programming Assistants For Privacy-Related Code Generation? The Developers' Experience
di: Madampe, Kashumi, et al.
Pubblicazione: (2025)

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation
di: Wang, Guanyu, et al.
Pubblicazione: (2024)

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
di: Zhang, Chaoyun, et al.
Pubblicazione: (2024)

SEW: Self-Evolving Agentic Workflows for Automated Code Generation
di: Liu, Siwei, et al.
Pubblicazione: (2025)