Microsoft has merged its AutoGen multi-agent framework into Semantic Kernel to create the Microsoft Agent Framework, released in October 2025. AutoGen is now in maintenance mode, receiving only securi…
SafeAI, an open-source static analysis tool for AI agent source code, scans for security risks, capability exposure, and governance gaps without executing agents or calling LLMs, integrating into CI/C…
Microsoft released a public preview of its Agent Framework for Go on July 10, bringing production-grade AI agent development to Go developers for the first time. The Go SDK supports tool calling, mult…
This week highlighted the gap between building AI agents and running them safely in production, with supply-chain and trust-boundary failures in GitHub and Mastra alongside Microsoft's production-grad…
Microsoft has launched hosted agents for its Azure AI Foundry platform to general availability, offering a managed, framework-agnostic runtime for deploying AI agents across more than 20 Azure regions…
Blackthorn Vision, a Microsoft-partnered .NET and AI development company, replaced a custom prompt orchestration layer with Semantic Kernel in a production healthcare SaaS product. After six months, t…
A developer building the Jarvis AI Platform implemented Phase 6, adding an AI agent system using the ReACT (Reason + Act) pattern in Java. The system handles multi-step tasks by repeatedly reasoning, …
Microsoft shipped agent-framework 1.0 on April 2, 2026, consolidating AutoGen and Semantic Kernel into a single package with stable APIs. The agent framework landscape has converged on MCP for tools a…
Researchers have demonstrated that compiling agentic workflows into the weights of small fine-tuned language models achieves near-frontier quality at two orders of magnitude less cost, addressing thre…
Semantic Kernel now supports observability via OpenTelemetry, enabling monitoring of AI orchestration with logs, traces, and metrics exported to SigNoz. The integration provides real-time visibility i…
A developer compiled a list of the 12 best frameworks for building AI agents in 2026, including LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, Semantic Kernel, PydanticAI, LlamaIndex, and H…
Google introduced the Agent2Agent (A2A) protocol, an open standard for communication between independent AI agents, enabling interoperability across different frameworks and organizations. The protoco…
Microsoft announced at Build 2026 that GitHub Copilot will replace GPT-4 Turbo with its own Polaris model starting August 2026, a mixture-of-experts architecture tuned per programming language. Enterp…
Microsoft researchers detailed an exploit chain called AutoJack that turns an AI browsing agent into a delivery vehicle for remote code execution. The flaw sits in AutoGen Studio, the open-source prot…
An AI agent evaluation harness is a repeatable test system that runs realistic tasks, captures every step, scores outcomes, and turns failures into regression tests. It helps teams move beyond demo su…
Multi-agent orchestration, where multiple AI agents collaborate on complex tasks, introduces significant operational challenges beyond single-agent systems. A developer explains that while frameworks …
Microsoft shipped Agent Framework 1.0 in April 2026, merging Semantic Kernel and AutoGen into a single open-source SDK for .NET and Python. Developers on AutoGen must migrate before Q3 2026 when major…
Microsoft offers three tiers for building AI agents on Azure: Copilot Studio Lite, Copilot Studio Pro, and Microsoft Foundry, each suited to different complexity levels and team constraints. The key d…
MandoCode, a new open-source AI coding agent built on .NET and Ollama, launched today as a local-first alternative to cloud-based assistants. The tool, which requires no API keys and runs entirely in …
A senior data engineer on r/dataengineering is questioning whether the practical demand for AI agents matches the online hype, seeking community input on building a viable side project with agentic sy…