Cover Image

NormCode Canvas: Making LLM Agentic Workflows Development Sustainable via Case-Based Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guan, Xin, Li, Yunshan, Wang, Ze
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Artificial Intelligence Programming Languages I.2.1; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
by: Chen, Mu-Chi, et al.
Published: (2026)

CIDR: A Large-Scale Industrial Source Code Dataset for Software Engineering Research
by: Savenkov, Vladislav
Published: (2026)

ContractBench: Can LLM Agents Preserve Observation Contracts?
by: Wang, Jicheng, et al.
Published: (2026)

PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
by: Wang, Yuchen, et al.
Published: (2026)

AI-Assisted Engineering Should Track the Epistemic Status and Temporal Validity of Architectural Decisions
by: Gilda, Sankalp, et al.
Published: (2026)

DUCTILE: Agentic LLM Orchestration of Engineering Analysis in Product Development Practice
by: Pradas-Gomez, Alejandro, et al.
Published: (2026)

XAI for Coding Agent Failures: Transforming Raw Execution Traces into Actionable Insights
by: Joshi, Arun
Published: (2026)

EyeLayer: Integrating Human Attention Patterns into LLM-Based Code Summarization
by: Zhang, Jiahao, et al.
Published: (2026)

Automated Bug Triaging using Instruction-Tuned Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)

Natural Language Summarization Enables Multi-Repository Bug Localization by LLMs in Microservice Architectures
by: Oskooei, Amirkia Rafiei, et al.
Published: (2025)

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

FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
by: Zhang, Mingda, et al.
Published: (2026)

Understanding and Detecting Flaky Builds in GitHub Actions
by: Ge, Wenhao, et al.
Published: (2026)

The Single-File Test: A Longitudinal Public-Interface Evaluation of First-Output LLM Web Generation with Social Reach Tracking
by: Palacios, Diego Cabezas
Published: (2026)

Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
by: Zolduoarrati, Elijah, et al.
Published: (2025)

LLM Agents for Generating Microservice-based Applications: how complex is your specification?
by: Yellin, Daniel M.
Published: (2025)

Optimizing Large Language Models for OpenAPI Code Completion
by: Petryshyn, Bohdan, et al.
Published: (2024)

Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning
by: Puccioni, Laura, et al.
Published: (2025)

Towards Explainable Test Case Prioritisation with Learning-to-Rank Models
by: Ramírez, Aurora, et al.
Published: (2024)

5C Prompt Contracts: A Minimalist, Creative-Friendly, Token-Efficient Design Framework for Individual and SME LLM Usage
by: Ari, Ugur
Published: (2025)

Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization
by: Fan, Hongkai, et al.
Published: (2026)

Amortized Molecular Optimization via Group Relative Policy Optimization
by: Javaid, Muhammad bin, et al.
Published: (2026)

Distributional Reinforcement Learning for Condition-Based Maintenance of Multi-Pump Equipment
by: Yasuno, Takato
Published: (2026)

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
by: Hashemi, Helia, et al.
Published: (2024)

AgentAtlas: Beyond Outcome Leaderboards for LLM Agents
by: Mazaheri, Parsa, et al.
Published: (2026)

AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instability in Agent Repair
by: Hu, Yuelin, et al.
Published: (2026)

SRLAgent: Enhancing Self-Regulated Learning Skills through Gamification and LLM Assistance
by: Ge, Wentao, et al.
Published: (2025)

Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
by: Ma, Yunjian
Published: (2026)

Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
by: Hathaway, Jamie, et al.
Published: (2023)

End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
by: Hathaway, Jamie, et al.
Published: (2026)

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
by: Tanjim, Md Mehrab, et al.
Published: (2026)

Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis
by: Xu, Zhihao, et al.
Published: (2025)

Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)

Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling
by: Gaonkar, Aradhya, et al.
Published: (2026)

SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures
by: Carballo, Víctor, et al.
Published: (2026)

Learning Controllable and Diverse Player Behaviors in Multi-Agent Environments
by: Cilan, Atahan, et al.
Published: (2025)

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

Dual-Process Scaffold Reasoning for Enhancing LLM Code Debugging
by: Hsieh, Po-Chung, et al.
Published: (2025)

AI-assisted JSON Schema Creation and Mapping
by: Neubauer, Felix, et al.
Published: (2025)

On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations
by: Hundal, Rajdeep Singh, et al.
Published: (2025)