Academic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource Constraint
Fuente:
arXiv
Saved in:
| Main Authors: | Crowson, Matthew G, Celi, Leo Celi A. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Code Sharing In Prediction Model Research: A Scoping Review
by: Sounack, Thomas, et al.
Published: (2026)
by: Sounack, Thomas, et al.
Published: (2026)
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
by: Sapkota, Ranjan, et al.
Published: (2025)
by: Sapkota, Ranjan, et al.
Published: (2025)
InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments
by: Orvalho, Pedro, et al.
Published: (2022)
by: Orvalho, Pedro, et al.
Published: (2022)
Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries
by: Ullah, Muhammad Aziz, et al.
Published: (2026)
by: Ullah, Muhammad Aziz, et al.
Published: (2026)
Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT
by: Qi, Yi, et al.
Published: (2023)
by: Qi, Yi, et al.
Published: (2023)
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
by: Chen, Junkai, et al.
Published: (2025)
by: Chen, Junkai, et al.
Published: (2025)
Vibe Checker: Aligning Code Evaluation with Human Preference
by: Zhong, Ming, et al.
Published: (2025)
by: Zhong, Ming, et al.
Published: (2025)
CodeMind: Evaluating Large Language Models for Code Reasoning
by: Liu, Changshu, et al.
Published: (2024)
by: Liu, Changshu, et al.
Published: (2024)
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024)
by: Peng, Yun, et al.
Published: (2024)
Code Broker: A Multi-Agent System for Automated Code Quality Assessment
by: Attrah, Samer
Published: (2026)
by: Attrah, Samer
Published: (2026)
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
by: Shi, Yuling, et al.
Published: (2024)
by: Shi, Yuling, et al.
Published: (2024)
McMining: Automated Discovery of Misconceptions in Student Code
by: Al-Hossami, Erfan, et al.
Published: (2025)
by: Al-Hossami, Erfan, et al.
Published: (2025)
Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation
by: Sartori, Camilo Chacón
Published: (2025)
by: Sartori, Camilo Chacón
Published: (2025)
The Vibe-Check Protocol: Quantifying Cognitive Offloading in AI Programming
by: Aiersilan, Aizierjiang
Published: (2026)
by: Aiersilan, Aizierjiang
Published: (2026)
AutoCode: LLMs as Problem Setters for Competitive Programming
by: Zhou, Shang, et al.
Published: (2025)
by: Zhou, Shang, et al.
Published: (2025)
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
by: Tang, Hao, et al.
Published: (2024)
by: Tang, Hao, et al.
Published: (2024)
Is Self-Repair a Silver Bullet for Code Generation?
by: Olausson, Theo X., et al.
Published: (2023)
by: Olausson, Theo X., et al.
Published: (2023)
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
by: Sun, Qiushi, et al.
Published: (2024)
by: Sun, Qiushi, et al.
Published: (2024)
Hydra: Efficient, Correct Code Generation via Checkpoint-and-Rollback Support
by: Du, Alexander, et al.
Published: (2026)
by: Du, Alexander, et al.
Published: (2026)
VisCoder2: Building Multi-Language Visualization Coding Agents
by: Ni, Yuansheng, et al.
Published: (2025)
by: Ni, Yuansheng, et al.
Published: (2025)
Benchmarking LLM Code Generation for Audio Programming with Visual Dataflow Languages
by: Zhang, William, et al.
Published: (2024)
by: Zhang, William, et al.
Published: (2024)
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
by: Chen, Simin, et al.
Published: (2024)
by: Chen, Simin, et al.
Published: (2024)
Towards the Ultimate Programming Language: Trust and Benevolence in the Age of Artificial Intelligence
by: Sawicki, Bartosz, et al.
Published: (2024)
by: Sawicki, Bartosz, 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)
Agentic Code Reasoning
by: Ugare, Shubham, et al.
Published: (2026)
by: Ugare, Shubham, et al.
Published: (2026)
Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
by: Chen, Le, et al.
Published: (2025)
by: Chen, Le, et al.
Published: (2025)
ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs
by: Kim, Su-Hyeon, et al.
Published: (2025)
by: Kim, Su-Hyeon, et al.
Published: (2025)
REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models
by: Saieva, Anthony, et al.
Published: (2023)
by: Saieva, Anthony, et al.
Published: (2023)
Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
by: Chon, Heejae, et al.
Published: (2024)
by: Chon, Heejae, et al.
Published: (2024)
Assessing Code Understanding in LLMs
by: Laneve, Cosimo, et al.
Published: (2025)
by: Laneve, Cosimo, et al.
Published: (2025)
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)
by: Wang, Peiding, et al.
Published: (2025)
A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks
by: Dandamudi, Rohit, et al.
Published: (2024)
by: Dandamudi, Rohit, et al.
Published: (2024)
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
by: Kammakomati, Mehant, et al.
Published: (2024)
by: Kammakomati, Mehant, et al.
Published: (2024)
Dynamic Stability of LLM-Generated Code
by: Rajput, Prateek, et al.
Published: (2025)
by: Rajput, Prateek, et al.
Published: (2025)
AI-Mediated Code Comment Improvement
by: Dhakal, Maria, et al.
Published: (2025)
by: Dhakal, Maria, et al.
Published: (2025)
Effective LLM-Driven Code Generation with Pythoness
by: Levin, Kyla H., et al.
Published: (2025)
by: Levin, Kyla H., et al.
Published: (2025)
Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development
by: Tran, Hung, et al.
Published: (2026)
by: Tran, Hung, et al.
Published: (2026)
To Vibe Research or Not to Vibe Research? Generative AI in Qualitative Research
by: Karhu, Katja, et al.
Published: (2026)
by: Karhu, Katja, et al.
Published: (2026)
AInsteinBench: Benchmarking Coding Agents on Scientific Repositories
by: Duston, Titouan, et al.
Published: (2025)
by: Duston, Titouan, et al.
Published: (2025)
AI-Assisted Fixes to Code Review Comments at Scale
by: Maddila, Chandra, et al.
Published: (2025)
by: Maddila, Chandra, et al.
Published: (2025)
Similar Items
-
Code Sharing In Prediction Model Research: A Scoping Review
by: Sounack, Thomas, et al.
Published: (2026) -
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
by: Sapkota, Ranjan, et al.
Published: (2025) -
InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments
by: Orvalho, Pedro, et al.
Published: (2022) -
Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries
by: Ullah, Muhammad Aziz, et al.
Published: (2026) -
Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT
by: Qi, Yi, et al.
Published: (2023)