Comparison of LangChain, LangGraph, and Microsoft Agent Framework for building AI applications, focusing on ecosystem fit, architecture, and use cases.
A decision framework for choosing between deterministic workflows, single agents, and multi-agent systems in enterprise AI architecture.
Explores logging and OpenTelemetry integration in multi-agent Microsoft Agent Framework applications, covering debugging, performance metrics, and audit trails.
Explores agentic autonomy levels in AI engineering, proposing a two-axis framework of agency and orchestration for multi-agent systems.
A developer describes using AI agents to write and review code, shifting their role to referee, and discusses the implications for software engineering.
Case study on building production-ready agentic AI systems for pharmaceutical drug development using RAG and Text-to-SQL.
Explores using AI agent teams with subagents in Google Antigravity to build a full-stack app in 90 seconds.
A reference app combining NVIDIA NeMo, Microsoft Agent Framework, A2A, and Aspire for cross-framework multi-agent workflows.
Explores four subagent patterns in AI agent systems for 2026, focusing on agent management and task delegation.
Introducing NimbusIQ, a multi-agent AI platform built on Microsoft Agent Framework to automate Azure drift detection, analysis, and remediation planning.
Explores Generative Ontology, a framework using structured game knowledge to guide AI in creating novel tabletop game designs.
Explains how to import and run LangGraph agents within IBM's watsonx Orchestrate platform for building multi-agent AI systems.
A curated list of articles and blogs about AI agents, software engineering changes, API latency, and developer experience.
Claude Code introduces agent teams (swarms), enabling parallel AI agents with specialized roles to coordinate on complex coding tasks.
A technical guide to building multi-agent AI systems using workflows in the Microsoft Agent Framework, covering patterns and implementation.
Explores the evolution of AI coding assistants, where developers shift from coding to managing autonomous agents as conductors and orchestrators.
A guide to building multi-agent AI workflows in .NET using AgentFactory and handoff patterns for clean, scalable agent orchestration.
Explores advanced Context Engineering techniques for AI agents, focusing on combating Context Rot and improving multi-agent coordination.
A developer-friendly introduction to the Microsoft Agent Framework, an open-source SDK for building and orchestrating AI agents in C# and Python.
Microsoft's new open-source Agent Framework combines AutoGen and Semantic Kernel for building intelligent, multi-agent AI applications.
