Cover Image

Trust Over Fear: How Motivation Framing in System Prompts Affects AI Agent Debugging Depth

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ji, Wu
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Debugging Without Error Messages: How LLM Prompting Strategy Affects Programming Error Explanation Effectiveness
by: Salmon, Audrey, et al.
Published: (2025)

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
by: Ma, Qianou, et al.
Published: (2023)

DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education
by: Fu, Lingyue, et al.
Published: (2025)

AtPatch: Debugging Transformers via Hot-Fixing Over-Attention
by: Weng, Shihao, et al.
Published: (2026)

ProDebug: An Automated Debugging System for Prolog
by: Brancas, Ricardo, et al.
Published: (2026)

Empowering Autonomous Debugging Agents with Efficient Dynamic Analysis
by: Xiang, Jiahong, et al.
Published: (2026)

Agent That Debugs: Dynamic State-Guided Vulnerability Repair
by: Liu, Zhengyao, et al.
Published: (2025)

Towards Adaptive Software Agents for Debugging
by: Majdoub, Yacine, et al.
Published: (2025)

DebugHarness: Emulating Human Dynamic Debugging for Autonomous Program Repair
by: Sun, Maolin, et al.
Published: (2026)

DebugRepair: Enhancing LLM-Based Automated Program Repair via Self-Directed Debugging
by: Wu, Linhao, et al.
Published: (2026)

UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging
by: Lee, Cheryl, et al.
Published: (2024)

AgentStepper: Interactive Debugging of Software Development Agents
by: Hutter, Robert, et al.
Published: (2026)

Simulated Interactive Debugging
by: Noller, Yannic, et al.
Published: (2025)

Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
by: Garg, Spandan, et al.
Published: (2026)

A Systematic Mapping Study on the Debugging of Autonomous Driving Systems
by: Shaw, Nathan, et al.
Published: (2026)

A Systematic Survey on Debugging Techniques for Machine Learning Systems
by: Nguyen, Thanh-Dat, et al.
Published: (2025)

An Investigation on How AI-Generated Responses Affect SoftwareEngineering Surveys
by: Santos, Ronnie de Souza, et al.
Published: (2025)

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
by: Ma, Ming, et al.
Published: (2025)

DeepFix: Debugging and Fixing Machine Learning Workflow using Agentic AI
by: Seydou, Fadel Mamar, et al.
Published: (2026)

Towards Practical and Useful Automated Program Repair for Debugging
by: Xin, Qi, et al.
Published: (2024)

Guided Debugging of Auto-Translated Code Using Differential Testing
by: Wu, Shengnan, et al.
Published: (2025)

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

Code Roulette: How Prompt Variability Affects LLM Code Generation
by: Paleyes, Andrei, et al.
Published: (2025)

Strategic Motivators for Ethical AI System Development: An Empirical and Holistic Model
by: Akbar, Muhammad Azeem, et al.
Published: (2025)

Timing Analysis Agent: Autonomous Multi-Corner Multi-Mode (MCMM) Timing Debugging with Timing Debug Relation Graph
by: Nainani, Jatin, et al.
Published: (2025)

Online and Interactive Bayesian Inference Debugging
by: Nussbaumer, Nathanael, et al.
Published: (2025)

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?
by: Zhu, Wang Bill, et al.
Published: (2026)

AgentRaft: Automated Detection of Data Over-Exposure in LLM Agents
by: Lin, Yixi, et al.
Published: (2026)

The Debugging Decay Index: Rethinking Debugging Strategies for Code LLMs
by: Adnan, Muntasir, et al.
Published: (2025)

Debugging WebAssembly? Put some Whamm on it!
by: Gilbert, Elizabeth, et al.
Published: (2025)

Locating Buggy Segments in Quantum Program Debugging
by: Sato, Naoto, et al.
Published: (2023)

Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents
by: Zhao, Chenyu, et al.
Published: (2026)

Accelerating Delta Debugging through Probabilistic Monotonicity Assessment
by: Tao, Yonggang, et al.
Published: (2025)

Toward a Better Understanding of Probabilistic Delta Debugging
by: Zhang, Mengxiao, et al.
Published: (2024)

Debugging with Open-Source Large Language Models: An Evaluation
by: Majdoub, Yacine, et al.
Published: (2024)

Identifying Video Game Debugging Bottlenecks: An Industry Perspective
by: Gomez, Carlos Pinto, et al.
Published: (2025)

Analyzing and Debugging Normative Requirements via Satisfiability Checking
by: Feng, Nick, et al.
Published: (2024)

Enhancing Debugging Skills with AI-Powered Assistance: A Real-Time Tool for Debugging Support
by: Artser, Elizaveta, et al.
Published: (2026)

Vulnerability-Affected Versions Identification: How Far Are We?
by: Chen, Xingchu, et al.
Published: (2025)

How Does Chunking Affect Retrieval-Augmented Code Completion? A Controlled Empirical Study
by: Wu, Xinjian, et al.
Published: (2026)