⚡ The Agent Development Lifecycle in < 90 seconds Let's walk by the 🌊with one of the Google engineers behind Agents CLI, which works with the coding agent of your choice (Claude Code, Antigravity, Codex) and teaches it to take an agent from prototype to production! It was such a blast filming

Everyone's building agents. So why did Redis release a feature store? I went on a tech walk with Simba Khadder, founder of Featureform (acquired by Redis) & now Head of Context Engine at Redis, to ask him exactly that and he dropped some fantastic insights! "It's almost like everyone forgot -

Are you hearing the term ✨ graph engineering ✨ yet? About 10 days ago, Peter Steinberger (creator of OpenClaw) tweeted this. I find it fascinating, and not because of the term itself. I look at everything through how people share information, & coining terminology is how tech has always worked:

Google engineer explains Agent Evaluation vs Model Evaluation in 30 seconds ⚡ 🚙 Think of getting your driver's license. First there's the theory test, where you're assessed on knowledge and getting the right answers. Then there's the road test, where you're out in the real world actually using t

🕶️ I’ve been wearing Meta glasses in general almost every day for over a year, and love the new design options + improved tech specs! So let’s unbox them… but first, here’s WHY I use them daily👇 1️⃣ Safety 🚦 I walk everywhere in NYC, and I love that I can take a call, listen to a podcast, or pl

When most people hear "agent memory," what comes to mind is personalization.. but there's another piece that gets less attention. Let's take a walk with Simba Khadder, who leads Context Engine at Redis, as he explains. It comes down to the agent being stateful, making decisions based on what

⏳ 90 second crash course on Databricks’ biggest launches across the Data + AI stack It all came back to one thing: even if an agent can reach your data, it still doesn’t understand your business. Here’s how the new stack addresses that, layer by layer. 🗄️ 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗗𝗮𝘁𝗮  LTAP puts operational

⚡ What are Declarative Pipelines in less than 90 seconds? Let's walk with Michael Armbrust, Distinguished Engineer at Databricks who led the design & development of Declarative Pipelines + created Spark SQL, Structured Streaming, Delta Lake, & much more as he breaks it down! 💡 TLDR: instead o

THIS is one of my favorite underrated Claude code features! … because as a New Yorker and a mom, i’m always trying to continue things on the go 🤣 Turn on Claude remote control by default automatically (more in comments ⤵️) #edutok #claudecode

📖How you experience reading something can help you retain it better - so what if reading a research paper felt less like documentation... and more like a storybook? Taking the research paper "Attention Is All You Need" and using @figma Make to explore what a more whimsical reading experience for

Everything in this room runs AI locally.... on a single superchip 🤯 I got a first look at the new NVIDIA RTX Spark, a new superchip that reinvents Windows PCs for the era of personal AI agents. As Satya Nadella put it, the goal is to deliver "unmetered intelligence to every home and every des

Tech talk & walk… the dog. 🐕 Walk with Simba Khadder, Chups 🐾, & me as he explains Redis Iris in 30 seconds! Redis Iris is Redis's new unified, real-time context engine for AI agents. Featuring Simba Khadder, Head of Context Engine at Redis & founder of Featureform (acquired by Redis).

What are the challenges of running open source models at scale? Gulsimo Osimi (Technical Program Manager @ Microsoft) walks through 3 big ones: 1️⃣Compute: the models run large, so you need GPUs available before you can deploy anything. 2️⃣ Inference: you have to pick the right high-p

🎮 NVIDIA & Microsoft brought a hands-on arcade for AI developers to Microsoft Build, & it’s available on-demand! If you didn’t get a chance to be in the room, this is a fantastic self-paced way to go from your first inference all the way to production-ready deployment. @Microsoft #NVIDIA C

Love this shirt that celebrates building from Microsoft 💙 I got one at Build and you can now pre-order this limited run on the Microsoft Store via the link in bio ✨pre-order runs until Wednesday! @Microsoft Developer

Databricks just launched the industry's first Context Engineer Associate cert! 💻 It assesses your ability to design, assemble, and govern the information AI agent systems receive at inference time: retrieval, memory, tool integration, context-window management, and governance. Check out the 🔗

Principal Al Architect & Engineer @codewithbrij walks through the 8 layers from LLM to Agentic Al 🧠 LLM → predicts the next word. Smart, but frozen. 📚 + RAG → reads your docs before answering. 🔧 + Tool Calling → now it can DO things. Call APIs, run code, query DBs. 💾 + Memory → remember

Traditional RAG vs Graph RAG explained in 60 seconds by Nacho Martínez ⚡ (Data Scientist Advocate @Oracle ) 💡 Both pull external knowledge into an LLM. The difference is whether what comes back is isolated, or actually connected. Traditional RAG chunks your docs, vectorizes each chunk, simila