Ai agents — Articles & Guides | Developers Voice

Building Enterprise AI Agents with Semantic Kernel and RAG in .NET

1 The Modern Enterprise Knowledge Challenge Enterprise teams are increasingly adding AI assistants to internal tools, but most quickly run into the limits of simple RAG implementations. A basic “v

Claude Code in 2026: A Practical End-to-End Workflow Across the SDLC

1 The Agentic Shift: Software Engineering with Claude Code Software engineering is evolving, but not in the way most trend pieces describe. Teams still write code, review pull requests, and run pr

On-Device AI for Mobile: Tiny LLMs, Vision Models, and Private Inference

Sudhir Mangla
Mobile Development , AI & Machine Learning
06 Dec, 2025

1 The Strategic Foundation: The Hybrid Compute Spectrum Mobile AI systems now have three realistic places where computation can run: the cloud, the edge (MEC), and directly on the device. Each tie

From Single Agents to Agentic Systems: A Practical Blueprint for Senior Engineers

1 Foundations: Agents vs. Agentic Systems In this opening section, we’re going to lay the conceptual groundwork for the shift from single agents to agentic systems. If you’re a senior engineer, te

The AI Test Engineer: Automating Test Case Generation and Documentation with LLMs

1 Introduction: The New Frontier of Quality Assurance Quality assurance has always been the backbone of reliable software delivery. Yet, despite decades of progress in automation, a stubborn bottl

The Agent-Driven Spec: From Product Requirement Document to Production-Ready Tech Specifications in Days, Not Weeks

1 Introduction: The End of Ambiguity Product development in software has always carried a paradox: the more detail you add to requirements, the more room there seems to be for misinterpretation. E

Semantic Kernel vs. LangChain.NET: An Architect's Guide to Choosing the Right AI Framework

1 Executive Summary: The Architect’s TL;DR 1.1 Why This Matters Now: The Rise of Composable AI The AI landscape is shifting rapidly. Where yesterday’s architectures revolved around deploying

From Monolith to AI-Driven Microservices: An Architect’s Modernization Playbook

Article Summary This in-depth guide is tailored for software architects, particularly those working with C# and .NET, who are responsible for leading legacy application modernization. The article

Introduction to Semantic Kernel: The .NET Developer's Guide to Building Powerful AI Agents

1 Introduction: The Dawn of the AI-Powered .NET Application Artificial intelligence is no longer a futuristic ideal reserved for research labs and Silicon Valley giants. It's becoming the backbone

Practical Azure AI Agent Use Cases for Large Enterprises | Real-World Applications

1 Introduction: The Dawn of the Agent-First Enterprise Enterprises are entering a new era of intelligent automation. For the past decade, the focus has been on automating repetitive tasks through