Image de couverture de livre

LLM Agents for Generating Microservice-based Applications: how complex is your specification?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Yellin, Daniel M.
Format:	Preprint
Publié:	2025
Sujets:	Software Engineering Machine Learning 68T42 I.2.6; I.2.2; D.2.2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

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

Optimizing Large Language Models for OpenAPI Code Completion
par: Petryshyn, Bohdan, et autres
Publié: (2024)

Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning
par: Puccioni, Laura, et autres
Publié: (2025)

See-Saw Generative Mechanism for Scalable Recursive Code Generation with Generative AI
par: Vsevolodovna, Ruslan Idelfonso Magaña
Publié: (2024)

Generative AI and the Transformation of Software Development Practices
par: Acharya, Vivek
Publié: (2025)

SLEAN: Simple Lightweight Ensemble Analysis Network for Multi-Provider LLM Coordination: Design, Implementation, and Vibe Coding Bug Investigation Case Study
par: Vargas, Matheus J. T.
Publié: (2025)

Reinforcement Learning for Dynamic Workflow Optimization in CI/CD Pipelines
par: Soni, Aniket Abhishek, et autres
Publié: (2026)

AI-assisted JSON Schema Creation and Mapping
par: Neubauer, Felix, et autres
Publié: (2025)

DISC: Dynamic Decomposition Improves LLM Inference Scaling
par: Light, Jonathan, et autres
Publié: (2025)

Scattered Forest Search: Smarter Code Space Exploration with LLMs
par: Light, Jonathan, et autres
Publié: (2024)

Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis
par: Xu, Zhihao, et autres
Publié: (2025)

Causality-Driven Neural Network Repair: Challenges and Opportunities
par: Vares, Fatemeh, et autres
Publié: (2025)

Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
par: Tiwari, Dhruv
Publié: (2025)

VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
par: Daneshvar, Seyed Shayan, et autres
Publié: (2024)

SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation
par: Chen, Mu-Chi, et autres
Publié: (2026)

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
par: Holt, Samuel, et autres
Publié: (2023)

CELI: Controller-Embedded Language Model Interactions
par: Wagner, Jan-Samuel, et autres
Publié: (2024)

Contrastive Learning-Enhanced Large Language Models for Monolith-to-Microservice Decomposition
par: Sellami, Khaled, et autres
Publié: (2025)

Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
par: Fachada, Nuno, et autres
Publié: (2026)

Toward Architecture-Aware Evaluation Metrics for LLM Agents
par: Souza, Débora, et autres
Publié: (2026)

A Self-Improving Architecture for Dynamic Safety in Large Language Models
par: Slater, Tyler
Publié: (2025)

Multicalibration for LLM-based Code Generation
par: Campos, Viola, et autres
Publié: (2025)

A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning
par: Kujur, Arahan
Publié: (2026)

Chain of Unit-Physics: A Primitive-Centric Approach to Scientific Code Synthesis
par: Sharma, Vansh, et autres
Publié: (2025)

optimize_anything: A Universal API for Optimizing any Text Parameter
par: Agrawal, Lakshya A, et autres
Publié: (2026)

NES: An Instruction-Free, Low-Latency Next Edit Suggestion Framework Powered by Learned Historical Editing Trajectories
par: Chen, Xinfang, et autres
Publié: (2025)

Sparse Knowledge Distillation: A Mathematical Framework for Probability-Domain Temperature Scaling and Multi-Stage Compression
par: Flouro, Aaron R., et autres
Publié: (2026)

Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
par: Quaedvlieg, Lars C. P. M.
Publié: (2025)

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
par: Malarkkan, Arun Vignesh, et autres
Publié: (2025)

Runtime Execution Traces Guided Automated Program Repair with Multi-Agent Debate
par: Wu, Jiaqing, et autres
Publié: (2026)

Computational Hardness of Reinforcement Learning with Partial $q^π$-Realizability
par: Karimi, Shayan, et autres
Publié: (2025)

Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models
par: Bates, Averi, et autres
Publié: (2025)

Recurrent Memory-Augmented Transformers with Chunked Attention for Long-Context Language Modeling
par: Kashyap, Ankit
Publié: (2025)

StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling
par: Xu, Zhe
Publié: (2026)

Predictable Gradient Manifolds in Deep Learning: Temporal Path-Length and Intrinsic Rank as a Complexity Regime
par: Calvo, Anherutowa
Publié: (2026)

S$^3$: Structured Sparsity Specification
par: Ghriss, Ayoub
Publié: (2026)

A Prompt Learning Framework for Source Code Summarization
par: Xu, Tingting, et autres
Publié: (2023)

Model Generation with LLMs: From Requirements to UML Sequence Diagrams
par: Ferrari, Alessio, et autres
Publié: (2024)

AdaDec: A Uncertainty-Guided Lookahead Decoding Framework for LLM-Based Code Generation
par: He, Kaifeng, et autres
Publié: (2025)

Case Studies and Reflections on Agentic Software Engineering for Rapid Development of Digital Music Instruments
par: Yee-King, Matthew John
Publié: (2026)