Cover Image

RAT: RunAnyThing via Fully Automated Environment Configuration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Renhong, Hua, Dongdong, Sun, Yifei, Ding, Sitao, Yuan, Hanyang, Wang, Daixin, Yang, Yang
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards
by: Zhang, Zejun, et al.
Published: (2026)

Repo2Run: Automated Building Executable Environment for Code Repository at Scale
by: Hu, Ruida, et al.
Published: (2025)

RisConFix: LLM-based Automated Repair of Risk-Prone Drone Configurations
by: Han, Liping, et al.
Published: (2025)

MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models
by: Chen, Yifei, et al.
Published: (2026)

Towards Automated Formal Verification of Backend Systems with LLMs
by: Xu, Kangping, et al.
Published: (2025)

Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents
by: Kuang, Jiayi, et al.
Published: (2025)

Deploy-Master: Automating the Deployment of 50,000+ Agent-Ready Scientific Tools in One Day
by: Wang, Yi, et al.
Published: (2026)

Automated Proof Generation for Rust Code via Self-Evolution
by: Chen, Tianyu, et al.
Published: (2024)

The Impact of Environment Configurations on the Stability of AI-Enabled Systems
by: Rahman, Musfiqur, et al.
Published: (2024)

EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration
by: Guo, Xinshuai, et al.
Published: (2026)

Enhancing Automated Program Repair with Solution Design
by: Zhao, Jiuang, et al.
Published: (2024)

Toward Executable Repository-Level Code Generation via Environment Alignment
by: Pan, Ruwei, et al.
Published: (2026)

Exploringand Unleashing the Power of Large Language Models in CI/CD Configuration Translation
by: Wang, Chong, et al.
Published: (2025)

LLM-Driven Kernel Evolution: Automating Driver Updates in Linux
by: Kharlamova, Arina, et al.
Published: (2025)

Dividable Configuration Performance Learning
by: Gong, Jingzhi, et al.
Published: (2024)

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration
by: Li, Ruiyin, et al.
Published: (2025)

MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
by: Guo, Chuanzhe, et al.
Published: (2026)

Toward Automated and Trustworthy Scientific Analysis and Visualization with LLM-Generated Code
by: Chakroborti, Apu Kumar, et al.
Published: (2025)

GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization
by: Gong, Jingzhi, et al.
Published: (2025)

EmbeWebAgent: Embedding Web Agents into Any Customized UI
by: Ma, Chenyang, et al.
Published: (2026)

Explore-Construct-Filter: An Automated Framework for Rich and Reliable API Knowledge Graph Construction
by: Sun, Yanbang, et al.
Published: (2025)

Isolating Compiler Faults via Multiple Pairs of Adversarial Compilation Configurations
by: Li, Qingyang, et al.
Published: (2025)

Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning
by: Gong, Jingzhi, et al.
Published: (2024)

Go-Oracle: Automated Test Oracle for Go Concurrency Bugs
by: Tsimpourlas, Foivos, et al.
Published: (2024)

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement
by: Zhang, Xiaoqing, et al.
Published: (2024)

You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects
by: Bouzenia, Islem, et al.
Published: (2024)

CoTune: Co-evolutionary Configuration Tuning
by: Xiong, Gangda, et al.
Published: (2025)

Distilled Lifelong Self-Adaptation for Configurable Systems
by: Ye, Yulong, et al.
Published: (2025)

iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols
by: Sun, Xikai, et al.
Published: (2025)

DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder
by: Zhang, Jiaran, et al.
Published: (2026)

AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
by: Wu, Yifan, et al.
Published: (2026)

TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code
by: Huang, Jiangping, et al.
Published: (2026)

Evaluating the Generalizability of LLMs in Automated Program Repair
by: Li, Fengjie, et al.
Published: (2025)

LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis
by: Ma, Lipeng, et al.
Published: (2025)

Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
by: Wen, Xin-Cheng, et al.
Published: (2025)

Pushing the Boundary: Specialising Deep Configuration Performance Learning
by: Gong, Jingzhi
Published: (2024)

DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
by: Huang, Zhili, et al.
Published: (2025)

GUITestScape: Towards Open-set Evaluation on Exploratory GUI Testing
by: Chen, Xiaoyi, et al.
Published: (2026)

A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System
by: Aslam, Iqra, et al.
Published: (2024)

Dually Hierarchical Drift Adaptation for Online Configuration Performance Learning
by: Xiang, Zezhen, et al.
Published: (2025)