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📰 Dev.to · Brian Spann

42 articles · Updated every 3 hours · View all reads

All Articles 77,580Blog Posts 103,269Tech Tutorials 18,907Research Papers 16,887News 13,400 ⚡ AI Lessons
Building a C# Agent with Microsoft Agent Framework and Ollama
Dev.to · Brian Spann 1mo ago
Building a C# Agent with Microsoft Agent Framework and Ollama
Building a C# Agent with Microsoft Agent Framework and Ollama Part 3 of "Running LLMs...
Creative Intelligence Suite: Innovation and Design Thinking for Developers (Part 4)
Dev.to · Brian Spann 📋 Product Management ⚡ AI Lesson 1mo ago
Creative Intelligence Suite: Innovation and Design Thinking for Developers (Part 4)
Throughout this series, we've explored BMAD's core framework, workflows, and custom agent building....
BMad Builder: Creating Custom AI Agents for Your Domain (Part 3)
Dev.to · Brian Spann 2mo ago
BMad Builder: Creating Custom AI Agents for Your Domain (Part 3)
In Part 1 and Part 2, we covered BMAD's core framework and workflows. Now let's explore how to extend...
BMAD-Method Workflows Deep Dive: From Idea to Production (Part 2)
Dev.to · Brian Spann 2mo ago
BMAD-Method Workflows Deep Dive: From Idea to Production (Part 2)
In Part 1, we introduced BMAD-Method and its philosophy of AI as collaborator. Now let's dive deep...
BMAD-Method: AI-Driven Agile Development That Actually Works (Part 1: Core Framework)
Dev.to · Brian Spann 2mo ago
BMAD-Method: AI-Driven Agile Development That Actually Works (Part 1: Core Framework)
The Problem With AI Coding Tools You've tried Copilot. Maybe Cursor. Perhaps Claude Code....
Production-Ready AI: Observability, Testing, and Cost Control for LLM Applications
Dev.to · Brian Spann 2mo ago
Production-Ready AI: Observability, Testing, and Cost Control for LLM Applications
You've built an LLM-powered feature. It works in development. Users love the demo. Then it goes to...
Building Conversational AI: Memory Patterns, Context Management, and Conversation Design
Dev.to · Brian Spann 2mo ago
Building Conversational AI: Memory Patterns, Context Management, and Conversation Design
Chatbots are easy to build. Conversational AI that actually works is hard. The difference? State...
Reliable AI Outputs: Function Calling, JSON Mode, and Structured Generation in C#
Dev.to · Brian Spann 2mo ago
Reliable AI Outputs: Function Calling, JSON Mode, and Structured Generation in C#
LLMs are impressive text generators, but production applications need more than prose. You need...
BitNet: Microsoft's 1-Bit LLMs That Run on Your CPU
Dev.to · Brian Spann 2mo ago
BitNet: Microsoft's 1-Bit LLMs That Run on Your CPU
What if you could run a 2-billion parameter language model on a CPU with just 0.4GB of memory and...
Multi-Agent Systems: Orchestrating Azure AI Agents with Semantic Kernel
Dev.to · Brian Spann 3mo ago
Multi-Agent Systems: Orchestrating Azure AI Agents with Semantic Kernel
Multi-Agent Systems: Orchestrating Azure AI Agents with Semantic Kernel A single agent can...
Power Your Azure AI Agents: Function Calling, Code Interpreter, and File Search
Dev.to · Brian Spann 3mo ago
Power Your Azure AI Agents: Function Calling, Code Interpreter, and File Search
Power Your Azure AI Agents: Function Calling, Code Interpreter, and File Search In Part 1,...
Migrating from Semantic Kernel to Microsoft Agent Framework: A C# Developer's Guide
Dev.to · Brian Spann 3mo ago
Migrating from Semantic Kernel to Microsoft Agent Framework: A C# Developer's Guide
Migrating from Semantic Kernel to Microsoft Agent Framework: A C# Developer's Guide The...
AI Agents in Semantic Kernel: ChatCompletionAgent, AgentGroupChat, and Orchestration
Dev.to · Brian Spann 3mo ago
AI Agents in Semantic Kernel: ChatCompletionAgent, AgentGroupChat, and Orchestration
Agents represent the evolution from AI assistants that respond to AI systems that reason and act. An...
Production RAG with Semantic Kernel: Patterns, Chunking, and Retrieval Strategies
Dev.to · Brian Spann 3mo ago
Production RAG with Semantic Kernel: Patterns, Chunking, and Retrieval Strategies
Retrieval-Augmented Generation (RAG) is the pattern that makes LLMs genuinely useful for enterprise...
Semantic Kernel Memory: Vector Stores, Embeddings, and Semantic Search
Dev.to · Brian Spann 3mo ago
Semantic Kernel Memory: Vector Stores, Embeddings, and Semantic Search
LLMs have a fundamental limitation: they're stateless. Every request starts fresh with no memory of...
Semantic Kernel Plugins Deep Dive: From Native Functions to MCP Integration
Dev.to · Brian Spann 3mo ago
Semantic Kernel Plugins Deep Dive: From Native Functions to MCP Integration
In Part 1, we explored Semantic Kernel's core architecture. Now it's time to dive deep into what...
Semantic Kernel from First Principles: Understanding the Architecture
Dev.to · Brian Spann 3mo ago
Semantic Kernel from First Principles: Understanding the Architecture
If you've built applications with the OpenAI or Azure OpenAI APIs directly, you've probably noticed...
Deploying Agent Framework to Production: Azure AI Foundry, Observability, and Scaling
Dev.to · Brian Spann 3mo ago
Deploying Agent Framework to Production: Azure AI Foundry, Observability, and Scaling
You've built agents. You've orchestrated workflows. You've integrated MCP tools. Now comes the part...
Model Context Protocol in .NET: Building and Consuming Universal AI Tools
Dev.to · Brian Spann 3mo ago
Model Context Protocol in .NET: Building and Consuming Universal AI Tools
Introduction In Part 1 and Part 2 of this series, we explored Microsoft Agent Framework's...
Agent Framework Workflows: Beyond Chat — Orchestrating Complex AI Tasks
Dev.to · Brian Spann 3mo ago
Agent Framework Workflows: Beyond Chat — Orchestrating Complex AI Tasks
Introduction In Part 1 of this series, we explored how Microsoft Agent Framework unifies...