Microsoft has launched the Azure SQL Database Foundations series, four videos covering Hyperscale database setup, migration, optimization, and AI integration, each with accompanying GitHub repos. The …
A developer argues that AI-generated code is breaking the traditional definition of correct software, where green CI pipelines and passing unit tests no longer guarantee semantic correctness. The deve…
A developer detailed how agentic web workloads over the Model Context Protocol (MCP) require stateless gateways, distributed context stores, prompt caching, and fine-grained telemetry to maintain sub-…
BlazorMemory 1.0 has been released, a .NET library that brings AI chat memory to Blazor WebAssembly without requiring a server or vector database. The library offers four storage backends and four AI …
A developer's analysis of five common agent engineering problems reveals that persistent tool_choice settings cause infinite loops, OpenAI's Assistants API will be removed on August 26, 2026, and Auto…
A developer argues that the term 'agent' is being overused, leading to engineering mistakes, and proposes a precise definition: an agent has an objective, decides what to do next, handles failure, and…
An engineer argues that in 2026, the choice of AI agent framework matters less than the surrounding layers such as memory, orchestration, and observability. The developer compares major frameworks inc…
A developer's comparison of AI agent frameworks in 2025 evaluates LangChain, CrewAI, and the broader ecosystem including MAF. The analysis highlights LangChain's comprehensiveness and LangGraph's suit…
Experian, a global data and technology company with 25,200 employees across 32 countries, is hiring a Staff AI Architect for a remote position in the United States to lead the technical vision and arc…
The shift from cloud-only LLM APIs to locally-run, agent-driven systems is a major trend in software engineering, with open-source frameworks like LangChain, LlamaIndex, and CrewAI enabling orchestrat…
Neo4j released AgentMemory for .NET, bringing graph-native short-term, long-term, and reasoning memory to Microsoft Agent Framework and Semantic Kernel developers, and published recordings from its Gr…
A 2026 guide ranks eight LLM frameworks for enterprise development, with LangChain leading in ecosystem breadth, LlamaIndex for RAG workflows, Semantic Kernel for Microsoft shops, CrewAI for multi-age…
SigNoz released a Semantic Kernel dashboard that monitors token usage, error rates, latency, and model distribution for applications using Microsoft's Semantic Kernel, requiring SigNoz v0.135.0 or new…
Microsoft shipped the Agent Framework Harness on July 22, a production-ready execution layer that turns an LLM into an autonomous agent with automatic tool-calling, planning, persistent memory, contex…
AgentMemory for .NET, a native .NET implementation of Neo4j's graph-native agent memory model, has been released by independent developer José L. Latorre and verified 178 out of 178 against Neo4j's Te…
Microsoft Agent Framework 1.0 reached general availability for .NET and Python in early April 2026, immediately placing Semantic Kernel and AutoGen into maintenance mode with only security patches and…
A developer has published a practical AI agent security audit checklist with 8 critical tests for production deployments, based on over 1,730 verified findings across 12 codebases. The checklist inclu…
Microsoft consolidated its AI developer tools into a single Agent Framework, reaching general availability in early 2026. The move ends debates between Semantic Kernel, AutoGen, and Foundry, providing…
Microsoft settled the agent framework debate by introducing the unified Agent Framework, moving Semantic Kernel and AutoGen into maintenance mode, and reaching version 1.0 general availability in Apri…
A developer compares LangGraph, CrewAI, Microsoft Agent Framework, and n8n for building AI agents, recommending LangGraph for fine-grained control over agent state and retries, CrewAI for modeling spe…