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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Mahade Hasan

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#machine learning Mar 2026

Engineering a Governance-Aware AI Sandbox: Design, Implementation, and Lessons Learned

This work designs and operationalizes a governance-aware, multi-tenant AI sandbox that supports structured experimentation and produces reusable evaluation evidence across stakeholders and yields lessons learned and practical considerations that inform deployment and future evolution of governance-aware sandbox platforms.

Muhammad Waseem, M. Islam, Md Nasir Uddin Shuvo et al. · 0 citations
#computer vision Preprint Aug 2026

AI Sandbox: Technical Report

This work presents the design and implementation of a governance-aware, multi-tenant AI sandbox for structured experimentation and the generation of reusable evaluation evidence across projects and stakeholder groups.

Muhammad Waseem, M. Islam, Md Nasir Uddin Shuvo et al. · 0 citations
#computer vision Jul 2025

Assessing Small Language Models for Code Generation: An Empirical Study with Benchmarks

This study presents a comprehensive empirical evaluation of 20 open-source Small Language Models and reveals that several compact SLMs achieve competitive results while maintaining a balance between performance and efficiency, making them viable for deployment in resource-constrained environments.

Mahade Hasan, Muhammad Waseem, Kai-Kristian Kemell et al. · 16 citations
#machine learning Mar 2026

Context Before Code: An Experience Report on Vibe Coding in Practice

An experience report from a small full-stack team that applied contextual prompting and explicit architectural constraints to build a multi-project agent learning platform designed for sustained, production-oriented use and an academic retrieval-augmented generation system is presented.

Md Nasir Uddin Shuvo, M. Islam, Mahade Hasan et al. · 0 citations
#computer vision Open access Jun 2025

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code

Results highlight the ability of LLM-based multi-agent in managing refactoring tasks targeted toward functional programming paradigms and hint that LLM-based multi-agent systems integration into the refactoring of functional programming languages can enhance maintainability and support automated development workflows.

Shahbaz Siddeeq, Muhammad Waseem, Z. Rasheed et al. · 5 citations

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