A comparative analysis of Azure AI Foundry and Azure OpenAI Service for production LLM workloads finds Foundry offers built-in model registry, Durable Functions orchestration, token-level observabilit…
A developer has published a production playbook for hardening Model Context Protocol (MCP) servers against prompt injection and tool abuse in .NET, arguing that server-side policy enforcement beats cl…
A developer detailed a production-grade multi-agent RAG architecture built on Semantic Kernel, Azure Functions, and Redis Cache for a B2B SaaS client handling 1 million support tickets per day. The fi…
Yann Gilliot, founder of GiLabs, outlined three architectural decisions for integrating RAG pipelines into existing .NET and SQL Server estates: keeping the vector index inside SQL Server or Azure AI …
A controlled evaluation of 9,360 trials across eight execution conditions — a direct-API baseline plus seven agentic frameworks (LangChain, CrewAI, AutoGen, LlamaIndex, the OpenAI Agents SDK, Google's…
A developer outlined a runtime prompt-assembly pipeline that builds LLM inputs from templates, retrieval, conversation memory, and caching, using a customer-support reply assistant as the example. The…
Microsoft disclosed two remote code execution vulnerabilities in its open-source Semantic Kernel agent framework, CVE-2026-26030 and CVE-2026-25592, both stemming from model-controlled input reaching …
A developer published a comparison of traditional RAG versus agentic RAG architectures in .NET using Semantic Kernel, reporting that traditional retrieval-augmented generation costs about $0.004 per q…
A repository called zero-trust-llm released AGENTS.md, a master operational ruleset that forces LLM agents through a five-step loop — [HYPOTHESIS], [IDENTIFY REQUIRED EVIDENCE], [GROUND VERIFICATION M…
A developer argues that the term 'agent' is being overused, leading to engineering mistakes, and offers a precise definition: an agent has an objective, decides what to do next, handles failure, and k…
A developer's guide for .NET teams shows how to control LLM context costs by trimming prompts, reusing KV cache, and monitoring token usage. The article details a fintech support bot case where Azure …
State Street Corporation is hiring an AI/Agentic AI Engineer for Cyber Security in Hyderabad, India, to design and deploy AI-driven security solutions using LLMs, agentic frameworks, and RAG architect…
A developer argues that the term 'agent' is being overused in AI, leading to engineering mistakes, and proposes a precise definition: an agent has an objective, decides what to do next, handles failur…
Anthropic's Claude Fable 5.1, released September 1, 2026, enforces a rule that invalidates thinking blocks when conversation history is altered, causing 6 of 10 agent frameworks (LangChain/LangGraph, …
Microsoft's AutoGen entered maintenance mode in October 2025 as its team merged with Semantic Kernel to build the Microsoft Agent Framework, but the multi-agent patterns it introduced remain transfera…
Reworkd's AgentGPT remains a popular browser-based demo for watching AI agents reason, but it lacks the integrations, guardrails, and scheduling needed for real-world tasks. A 2026 roundup highlights …
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 …