AI 资讯
Building Your First AI Agent with .NET and Azure AI Foundry
If you're a .NET developer looking to break into AI engineering, agents are the single best place to start. They're the point where "calling an LLM API" turns into "building a system that reasons, uses tools, and takes action" — and Azure AI Foundry Agent Service, paired with .NET, makes this surprisingly approachable. In this post, I'll walk through exactly how to stand up your first agent end-to-end — from the Azure side setup to the actual C# code — and share the full walkthrough in video form as well. 🎥 Watch the full hands-on video here: https://youtu.be/mrsEsculrNg Why Agents, and Why Now Most of us started our AI journey with a simple chat completion call — send a prompt, get text back. That's fine for Q&A, but it falls apart the moment you need the model to do something: run code, search documents, call an API, or hold a multi-turn conversation with real state. That's exactly the gap Foundry Agent Service closes. An agent in Foundry is: Durable — it lives as a resource in your Foundry project, not in your app's memory Tool-aware — it can invoke built-in tools (like a code interpreter) or your own custom functions Stateful — conversations persist and carry context across turns And the best part for us .NET folks: the entire thing is callable from clean, typed C# — no wrestling with raw REST payloads. What You'll Need Before writing any code, set up the Azure side: An Azure AI Foundry project with a chat model deployed (e.g., gpt-4o-mini ) The Foundry User RBAC role assigned to your account at the resource/resource-group scope — this is the single most common blocker people hit (a silent 403 when calling the SDK), so don't skip it az login run locally, so your code can authenticate without hardcoding any keys If you've worked with Cognitive Services roles before, note that agent management needs this separate Foundry-specific role — that trips up a lot of people coming from plain Azure OpenAI usage. Setting Up the .NET Project dotnet new console -n FoundryAgen
AI 资讯
Orchid is a delightfully retro and approachable hipster synth
In 2017, I bought an old Magnus chord organ off Craigslist for $10. It's one of my favorite music gear purchases. Electric chord organs let you play full chords with just a press of a button, making them perfect for aspiring singer-songwriters or fooling around at home. But chord organs largely fell out of favor […]
AI 资讯
Birdfy’s solar-powered smart feeder is down to one of its best prices
Birdfy has kicked off a midyear sale, taking up to 40 percent off a range of its smart bird feeders. One of the best deals is on Netvue’s Birdfy Feeder AI-Powered Smart Bird Feeder with Camera, which has dropped to $149.99 at Birdfy and is its second-best price to date. The bundle, which includes a […]
AI 资讯
‘Odyssey’ director Christopher Nolan calls AI an obvious ‘Trojan horse’
"Everybody knows the Greeks are inside."
AI 资讯
Speech To Markdown
Harness local AI for notes Discussion | Link
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US Marshals arrest the Tate brothers in Miami
The manosphere influencers Andrew and Tristan Tate were arrested Saturday in Miami by US Marshals in relation to new rape and sex trafficking charges in England. According to the Associated Press, British authorities are seeking the brothers' extradition. The new charges facing Andrew Tate include seven counts of rape, three of sex trafficking, three counts […]
AI 资讯
Nonprofit Current AI is racing to build the World Wide Web of AI, free for all
Current AI, a non-profit building AI that leaves no one culture behind, has made remarkable progress across devices, AI chat and more.
科技前沿
Are OLED TVs still worth the premium in 2026?
OLED displays are the best of the best in many ways, but in some scenarios, "lesser" technology really shines.
AI 资讯
The Clapper was a bad smart home gadget — and a viral sensation
Clap on. Clap off. Well, more like, Clap, pause for half a beat but no longer because otherwise it'll stop hearing you, clap again because you waited too long, clap louder and faster, that didn't work, clap two more times, and suddenly: on. The Clapper didn't always work - and even when it did, it […]
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