Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Haseeb, Muhammad |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Generative AI and the Transformation of Software Development Practices
par: Acharya, Vivek
Publié: (2025)
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)
par: Vargas, Matheus J. T.
Publié: (2025)
Optimizing Large Language Models for OpenAPI Code Completion
par: Petryshyn, Bohdan, et autres
Publié: (2024)
par: Petryshyn, Bohdan, et autres
Publié: (2024)
RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
par: Guo, Jinyao, et autres
Publié: (2025)
par: Guo, Jinyao, et autres
Publié: (2025)
Multimodal Generative AI for Story Point Estimation in Software Development
par: Islam, Mohammad Rubyet, et autres
Publié: (2025)
par: Islam, Mohammad Rubyet, et autres
Publié: (2025)
Mind the Metrics: Patterns for Telemetry-Aware In-IDE AI Application Development using the Model Context Protocol (MCP)
par: Koc, Vincent, et autres
Publié: (2025)
par: Koc, Vincent, et autres
Publié: (2025)
Kodezi Chronos: A Debugging-First Language Model for Repository-Scale Code Understanding
par: Khan, Ishraq, et autres
Publié: (2025)
par: Khan, Ishraq, et autres
Publié: (2025)
DRS-OSS: Practical Diff Risk Scoring with LLMs
par: Sayedsalehi, Ali, et autres
Publié: (2025)
par: Sayedsalehi, Ali, et autres
Publié: (2025)
DISC: Dynamic Decomposition Improves LLM Inference Scaling
par: Light, Jonathan, et autres
Publié: (2025)
par: Light, Jonathan, et autres
Publié: (2025)
LLMDFA: Analyzing Dataflow in Code with Large Language Models
par: Wang, Chengpeng, et autres
Publié: (2024)
par: Wang, Chengpeng, et autres
Publié: (2024)
Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
par: Platzer, André
Publié: (2024)
par: Platzer, André
Publié: (2024)
The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model
par: Zhao, Zelin, et autres
Publié: (2023)
par: Zhao, Zelin, et autres
Publié: (2023)
Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
par: Tiwari, Dhruv
Publié: (2025)
par: Tiwari, Dhruv
Publié: (2025)
An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
par: Saini, Saurabh, et autres
Publié: (2026)
par: Saini, Saurabh, et autres
Publié: (2026)
LLM Agents for Generating Microservice-based Applications: how complex is your specification?
par: Yellin, Daniel M.
Publié: (2025)
par: Yellin, Daniel M.
Publié: (2025)
Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
par: Pather, Kaviraj, et autres
Publié: (2025)
par: Pather, Kaviraj, et autres
Publié: (2025)
Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo
par: Chahine, Makram, et autres
Publié: (2024)
par: Chahine, Makram, et autres
Publié: (2024)
React-ing to Grace Hopper 200: Five Open-Weights Coding Models, One React Native App, One GH200, One Weekend
par: Potanin, Alex
Publié: (2026)
par: Potanin, Alex
Publié: (2026)
Collaborative LLM Agents for C4 Software Architecture Design Automation
par: Szczepanik, Kamil, et autres
Publié: (2025)
par: Szczepanik, Kamil, et autres
Publié: (2025)
CellARC: Measuring Intelligence with Cellular Automata
par: Lžičař, Miroslav
Publié: (2025)
par: Lžičař, Miroslav
Publié: (2025)
Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search
par: Holt, Samuel, et autres
Publié: (2025)
par: Holt, Samuel, et autres
Publié: (2025)
Recent Advances in Data-Driven Business Process Management
par: Ackermann, Lars, et autres
Publié: (2024)
par: Ackermann, Lars, et autres
Publié: (2024)
Adaptive Negative Scheduling for Graph Contrastive Learning
par: Ali, Adnan, et autres
Publié: (2026)
par: Ali, Adnan, et autres
Publié: (2026)
On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
par: Shafieinejad, Masoumeh, et autres
Publié: (2026)
par: Shafieinejad, Masoumeh, et autres
Publié: (2026)
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
par: Luo, An, et autres
Publié: (2026)
par: Luo, An, et autres
Publié: (2026)
A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
par: Caunhye, Ali Murtaza, et autres
Publié: (2025)
par: Caunhye, Ali Murtaza, et autres
Publié: (2025)
Towards Human-AI Synergy in Requirements Engineering: A Framework and Preliminary Study
par: Abbasi, Mateen Ahmed, et autres
Publié: (2025)
par: Abbasi, Mateen Ahmed, et autres
Publié: (2025)
optimize_anything: A Universal API for Optimizing any Text Parameter
par: Agrawal, Lakshya A, et autres
Publié: (2026)
par: Agrawal, Lakshya A, et autres
Publié: (2026)
Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis
par: Xu, Zhihao, et autres
Publié: (2025)
par: Xu, Zhihao, et autres
Publié: (2025)
XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
par: Estevanell-Valladares, Ernesto L., et autres
Publié: (2025)
par: Estevanell-Valladares, Ernesto L., et autres
Publié: (2025)
Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation
par: Han, Jipeng
Publié: (2024)
par: Han, Jipeng
Publié: (2024)
Learning from Preferences and Mixed Demonstrations in General Settings
par: Brown, Jason R, et autres
Publié: (2025)
par: Brown, Jason R, et autres
Publié: (2025)
Murphys Laws of AI Alignment: Why the Gap Always Wins
par: Gaikwad, Madhava
Publié: (2025)
par: Gaikwad, Madhava
Publié: (2025)
See-Saw Generative Mechanism for Scalable Recursive Code Generation with Generative AI
par: Vsevolodovna, Ruslan Idelfonso Magaña
Publié: (2024)
par: Vsevolodovna, Ruslan Idelfonso Magaña
Publié: (2024)
AI Model for Predicting Binding Affinity of Antidiabetic Compounds Targeting PPAR
par: Aman, La Ode, et autres
Publié: (2024)
par: Aman, La Ode, et autres
Publié: (2024)
A Prompt Learning Framework for Source Code Summarization
par: Xu, Tingting, et autres
Publié: (2023)
par: Xu, Tingting, et autres
Publié: (2023)
KL-Regularised Q-Learning: A Token-level Action-Value perspective on Online RLHF
par: Brown, Jason R, et autres
Publié: (2025)
par: Brown, Jason R, et autres
Publié: (2025)
The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
par: Karn, Isha, et autres
Publié: (2025)
par: Karn, Isha, et autres
Publié: (2025)
Can Agentic AI Match the Performance of Human Data Scientists?
par: Luo, An, et autres
Publié: (2025)
par: Luo, An, et autres
Publié: (2025)
On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
par: Akella, Aditya
Publié: (2025)
par: Akella, Aditya
Publié: (2025)
Documents similaires
-
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) -
Optimizing Large Language Models for OpenAPI Code Completion
par: Petryshyn, Bohdan, et autres
Publié: (2024) -
RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
par: Guo, Jinyao, et autres
Publié: (2025) -
Multimodal Generative AI for Story Point Estimation in Software Development
par: Islam, Mohammad Rubyet, et autres
Publié: (2025)