Cover Image

AutoCodeSherpa: Symbolic Explanations in AI Coding Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Sungmin, Ruan, Haifeng, Roychoudhury, Abhik
Format:	Preprint
Published:	2025
Subjects:	Software Engineering D.2; I.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agentic AI for Software: thoughts from Software Engineering community
by: Roychoudhury, Abhik
Published: (2025)

UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench
by: Yu, Boxi, et al.
Published: (2025)

The Specification as Quality Gate: Three Hypotheses on AI-Assisted Code Review
by: Zietsman, Christo
Published: (2026)

AutoCodeRover: Autonomous Program Improvement
by: Zhang, Yuntong, et al.
Published: (2024)

Inside the Scaffold: A Source-Code Taxonomy of Coding Agent Architectures
by: Rombaut, Benjamin
Published: (2026)

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation
by: Trooskens, Geert, et al.
Published: (2026)

Review Beats Planning: Dual-Model Interaction Patterns for Code Synthesis
by: Miller, Jan
Published: (2026)

AgentSpawn: Adaptive Multi-Agent Collaboration Through Dynamic Spawning for Long-Horizon Code Generation
by: Costa, Igor
Published: (2026)

CodeTracer: Towards Traceable Agent States
by: Li, Han, et al.
Published: (2026)

RelRepair: Enhancing Automated Program Repair by Retrieving Relevant Code
by: Liu, Shunyu, et al.
Published: (2025)

CodeCompass: Navigating the Navigation Paradox in Agentic Code Intelligence
by: Paipuru, Tarakanath
Published: (2026)

Validating Solidity Code Defects using Symbolic and Concrete Execution powered by Large Language Models
by: Susan, Ştefan-Claudiu, et al.
Published: (2025)

CIFE: Code Instruction-Following Evaluation
by: Gunnu, Sravani, et al.
Published: (2025)

CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution
by: Jana, Prithwish, et al.
Published: (2023)

Automated Deep Learning Optimization via DSL-Based Source Code Transformation
by: Wang, Ruixin, et al.
Published: (2024)

SpecRover: Code Intent Extraction via LLMs
by: Ruan, Haifeng, et al.
Published: (2024)

Distilling Desired Comments for Enhanced Code Review with Large Language Models
by: Yu, Yongda, et al.
Published: (2024)

SpecOps: A Fully Automated AI Agent Testing Framework in Real-World GUI Environments
by: Ahmed, Syed Yusuf, et al.
Published: (2026)

AIRA: AI-Induced Risk Audit: A Structured Inspection Framework for AI-Generated Code
by: Parris, William M.
Published: (2026)

Multi-Agent Code Verification via Information Theory
by: Rajan, Shreshth
Published: (2025)

CCCI: Code Completion with Contextual Information for Complex Data Transfer Tasks Using Large Language Models
by: Jin, Hangzhan, et al.
Published: (2025)

Can AI Assist in Olympiad Coding
by: Ren, Samuel
Published: (2025)

BACE: LLM-based Code Generation through Bayesian Anchored Co-Evolution of Code and Test Populations
by: Silva, Kaushitha, et al.
Published: (2026)

SmellBench: Evaluating LLM Agents on Architectural Code Smell Repair
by: Dinu, Ion George, et al.
Published: (2026)

LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study
by: Ranasinghe, Nishath Rajiv, et al.
Published: (2025)

Fine-Tuning LLMs to Analyze Multiple Dimensions of Code Review: A Maximum Entropy Regulated Long Chain-of-Thought Approach
by: Yu, Yongda, et al.
Published: (2025)

You Don't Need Public Tests to Generate Correct Code
by: Silva, Kaushitha, et al.
Published: (2026)

Context-Augmented Code Generation: How Product Context Improves AI Coding Agent Decision Compliance by 49%
by: Dillon, Drew, et al.
Published: (2026)

Feedback-Normalized Developer Memory for Reinforcement-Learning Coding Agents: A Safety-Gated MCP Architecture
by: Iscan, Mehmet
Published: (2026)

Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
by: Haseeb, Muhammad
Published: (2025)

Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization
by: Sun, Weisong, et al.
Published: (2025)

Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications
by: Rehan, Tzafrir
Published: (2026)

Software Defined Vehicle Code Generation: A Few-Shot Prompting Approach
by: Nguyen, Quang-Dung, et al.
Published: (2025)

Toward Architecture-Aware Evaluation Metrics for LLM Agents
by: Souza, Débora, et al.
Published: (2026)

Scattered Forest Search: Smarter Code Space Exploration with LLMs
by: Light, Jonathan, et al.
Published: (2024)

Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models
by: Bates, Averi, et al.
Published: (2025)

TDAD: Test-Driven Agentic Development - Reducing Code Regressions in AI Coding Agents via Graph-Based Impact Analysis
by: Alonso, Pepe, et al.
Published: (2026)

Memory Management and Contextual Consistency for Long-Running Low-Code Agents
by: Xu, Jiexi
Published: (2025)

Runtime Execution Traces Guided Automated Program Repair with Multi-Agent Debate
by: Wu, Jiaqing, et al.
Published: (2026)

LLMs as Idiomatic Decompilers: Recovering High-Level Code from x86-64 Assembly for Dart
by: Abualazm, Raafat, et al.
Published: (2026)