6 min read
Microsoft Agent Framework in .NET: A February 2026 Preview Field Guide
What Microsoft Agent Framework for .NET really is in February 2026: agents, sessions, tool approvals and handoffs, plus where it fits before it reaches GA.
Semantic Kernel
24 articles
6 min read
Semantic Kernel Apps in February 2026: Stay, Bridge, or Rewrite
Agent Framework is still in preview and Semantic Kernel is in fix-and-stabilise mode: how to decide whether to stay, bridge, or rewrite in February 2026.
8 min read
Semantic Kernel Agents in Production: What's Stable, What Isn't
Running Semantic Kernel agents in production in early 2026: which APIs are GA, which are preview, how to guard tool calls, and where Agent Framework fits.
1 min read
Building a Personal AI Assistant with Semantic Kernel
This foundation can be extended with calendar integration, email access, and more plugins. Perfect for a holiday coding project!
1 min read
Migrating from LangChain to Semantic Kernel: A Practical Guide
Many teams that started with LangChain in 2024 are now evaluating Semantic Kernel for its tighter Azure integration and production-ready features. Having…
1 min read
Semantic Kernel: Orchestrating AI Agents with Plugins and Planners
Semantic Kernel abstracts the complexity of working with multiple AI services while providing extensibility through plugins. This allows developers to…
1 min read
Semantic Kernel: Building AI Orchestration with .NET
Semantic Kernel provides a clean abstraction for building AI-powered features while maintaining flexibility to switch between different LLM providers.
1 min read
Building Multi-Agent Systems with Semantic Kernel
Define clear responsibilities for each agent to avoid confusion and improve reliability. Multi-agent architectures excel at complex workflows where…
1 min read
Semantic Kernel Filters: Intercepting and Modifying AI Operations
Semantic Kernel supports several filter types: function invocation filters, prompt render filters, and auto function invocation filters. Each intercepts…
1 min read
Building AI Agents with Semantic Kernel Planners
Planners analyze a user's goal and create an execution plan using available plugins. The Handlebars planner generates a template-based plan, while function…
1 min read
Semantic Kernel Memory: Building Persistent AI Context
Use retrieved memories to enrich the system prompt or provide context for the AI. This enables personalized responses without requiring the user to repeat…
1 min read
Implementing Semantic Kernel Plugins for Enterprise Applications
Native plugins expose C# methods to the kernel, allowing the LLM to invoke them when appropriate.
1 min read
Getting Started with Semantic Kernel 2.x: A Practical Introduction
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) with conventional programming languages. Version 2.x introduces a more streamlined…
1 min read
Semantic Kernel v2: Building Composable AI Applications in C#
Semantic Kernel v2 brings enterprise-grade patterns to AI development, making it easier to build maintainable, testable AI applications.
1 min read
Semantic Kernel 2.0: Major Updates and New Features
Semantic Kernel 2.0 provides enterprise-ready AI orchestration with improved developer experience.
1 min read
LangChain vs Semantic Kernel: Choosing Your AI Framework
Choose based on your ecosystem and team skills.
1 min read
Semantic Kernel Patterns: Building AI Applications with Microsoft's SDK
Semantic Kernel provides a clean abstraction for building AI applications with plugins and natural language orchestration.
7 min read
Multi-Agent Orchestration: Pick the Pattern Before the Framework
Four multi-agent orchestration patterns, what Semantic Kernel, AutoGen 0.4 and Azure AI Agent Service offered for each in January 2025, and when to skip them.
7 min read
LangChain, AutoGen, CrewAI or Semantic Kernel? Choosing in January 2024
How LangChain 0.1, AutoGen 0.2, CrewAI 0.1 and Semantic Kernel 1.0 differ in maturity, control and Azure OpenAI fit, and which one I'd pick for what.
1 min read
Semantic Kernel: Building AI-Powered Applications with .NET
Learn how to use Microsoft's Semantic Kernel SDK to build intelligent applications that leverage GPT-4 and Azure OpenAI Service.
1 min read
Semantic Kernel Memory: Building AI with Long-Term Context
1. Organize into collections : Separate by topic/domain 2. Use meaningful IDs : Enable updates and deletions 3. Set appropriate relevance thresholds : Too…
1 min read
Semantic Kernel Planners: Automatic AI Orchestration
Creates multi step plans: Selects the single best action: Iteratively reasons through complex problems: 1. Register clear skill descriptions : Planners rely…
1 min read
Semantic Kernel Plugins: Extending AI with Custom Skills
1. Single responsibility : Each plugin should do one thing well 2. Clear descriptions : Help planners understand what functions do 3. Validate inputs :…
1 min read
Semantic Kernel Introduction: Microsoft's AI Orchestration SDK
Define AI functions using natural language prompts: Create reusable prompts: Add Python functions as skills: Combine functions into pipelines: Store and…