Image de couverture de livre

When is Generated Code Difficult to Comprehend? Assessing AI Agent Python Code Proficiency in the Wild

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Temkulkiat, Nanthit, Ragkhitwetsagul, Chaiyong, Choetkiertikul, Morakot, Rojpaisarnkit, Ruksit, Kula, Raula Gaikovina
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

jscefr: A Framework to Evaluate the Code Proficiency for JavaScript
par: Ragkhitwetsagul, Chaiyong, et autres
Publié: (2024)

PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects
par: Charatvaraphan, Rujiphart, et autres
Publié: (2025)

Towards Identifying Code Proficiency through the Analysis of Python Textbooks
par: Rojpaisarnkit, Ruksit, et autres
Publié: (2024)

How Natural Language Proficiency Shapes GenAI Code for Software Engineering Tasks
par: Rojpaisarnkit, Ruksit, et autres
Publié: (2025)

See to Believe: Using Visualization To Motivate Updating Third-party Dependencies
par: Ragkhitwetsagul, Chaiyong, et autres
Publié: (2024)

Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
par: Termphaiboon, Chayanid, et autres
Publié: (2025)

On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub
par: Kancharoendee, Sushawapak, et autres
Publié: (2025)

Mining the Characteristics of Jupyter Notebooks in Data Science Projects
par: Choetkiertikul, Morakot, et autres
Publié: (2023)

The Role of Code Proficiency in the Era of Generative AI
par: Robles, Gregorio, et autres
Publié: (2024)

Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
par: Meakpaiboonwattana, Prachnachai, et autres
Publié: (2025)

Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks
par: Ragkhitwetsagul, Chaiyong, et autres
Publié: (2024)

The Shift from Writing to Pruning Software: A Bonsai-Inspired IDE for Reshaping AI Generated Code
par: Kula, Raula Gaikovina, et autres
Publié: (2025)

Characterising Contributions that Coincide with Vulnerability Mitigation in NPM Libraries
par: Rojpaisarnkit, Ruksit, et autres
Publié: (2024)

AILINKPREVIEWER: Enhancing Code Reviews with LLM-Powered Link Previews
par: Trakoolgerntong, Panya, et autres
Publié: (2025)

Reducing Alert Fatigue via AI-Assisted Negotiation: A Case for Dependabot
par: Kula, Raula Gaikovina
Publié: (2025)

How Maintainable is Proficient Code? A Case Study of Three PyPI Libraries
par: Febriyanti, Indira, et autres
Publié: (2024)

The Impact of COVID-19 and Remote Work on Software Development in Thailand
par: Ragkhitwetsagul, Chaiyong, et autres
Publié: (2025)

Automated Code Review Assignments: An Alternative Perspective of Code Ownership on GitHub
par: Lulla, Jai Lal, et autres
Publié: (2025)

Human to Document, AI to Code: Comparing GenAI for Notebook Competitions
par: Settewong, Tasha, et autres
Publié: (2025)

Linking Code and Documentation Churn: Preliminary Analysis
par: Hovhannisyan, Ani, et autres
Publié: (2024)

SmartPatchLinker: An Open-Source Tool to Linked Changes Detection for Code Review
par: Khemissi, Islem, et autres
Publié: (2026)

Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering
par: Treude, Christoph, et autres
Publié: (2025)

The Future of Development Environments with AI Foundation Models: NII Shonan Meeting 222 Report
par: Hu, Xing, et autres
Publié: (2025)

Towards Sustainable and Secure Reuse in Dependency Supply Chains: Initial Analysis of NPM packages at the End of the Chain
par: Reid, Brittany Anne, et autres
Publié: (2025)

Humans Integrate, Agents Fix: How Agent-Authored Pull Requests Are Referenced in Practice
par: Khemissi, Islem, et autres
Publié: (2026)

Drop it All or Pick it Up? How Developers Responded to the Log4JShell Vulnerability
par: Maeprasart, Vittunyuta, et autres
Publié: (2024)

Contributing Back to the Ecosystem: A User Survey of NPM Developers
par: Wattanakriengkrai, Supatsara, et autres
Publié: (2024)

How the Misuse of a Dataset Harmed Semantic Clone Detection
par: Krinke, Jens, et autres
Publié: (2025)

Towards Human-interpretable Explanation in Code Clone Detection using LLM-based Post Hoc Explainer
par: Racharak, Teeradaj, et autres
Publié: (2025)

Not Only for Developers: Exploring Plugin Maintenance for Knowledge-Centric Communities
par: Rosa, Giovanni, et autres
Publié: (2026)

Open Source at a Crossroads: The Future of Licensing Driven by Monetization
par: Kula, Raula Gaikovina, et autres
Publié: (2025)

Uncovering Intention through LLM-Driven Code Snippet Description Generation
par: Nugroho, Yusuf Sulistyo, et autres
Publié: (2025)

A Preliminary Study on Self-Contained Libraries in the NPM Ecosystem
par: Jaisri, Pongchai, et autres
Publié: (2024)

Ethical Considerations Towards Protestware
par: Cheong, Marc, et autres
Publié: (2023)

Quantifying Competitive Relationships Among Open-Source Software Projects
par: Takei, Yuki, et autres
Publié: (2026)

What About Our Bug? A Study on the Responsiveness of NPM Package Maintainers
par: Saeidi, Mohammadreza, et autres
Publié: (2025)

An Empirical Study of Java Code Improvements Based on Stack Overflow Answer Edits
par: Wiratsin, In-on, et autres
Publié: (2025)

A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects
par: Hoshikawa, Hirotatsu, et autres
Publié: (2026)

The Impact of Sanctions on GitHub Developers and Activities
par: Fan, Youmei, et autres
Publié: (2024)

An Empirical Study of Security-Policy Related Issues in Open Source Projects
par: Kanaji, Rintaro, et autres
Publié: (2025)