

Highlights this week include: Agent Skills for Azure Bicep with GitHub Copilot: From Manual Work to Automated Workflows: learn how to create reusable Agent Skills in GitHub Copilot that package domain expertise into automated workflows for Azure Bicep, including four ready-to-use skills for formatting, type conversion, and Azure Verified Modules migration. Writing Effective Prompts for Testing Scenarios: AI Assisted Quality Engineering: a deep dive into prompt design patterns for AI-assisted testing, covering role-based, few-shot, and context-rich prompting techniques that move QA teams beyond shallow test generation toward reliable, high-coverage outputs. Getting more out of Copilot with Copilot Pages: an overview and live demo of Copilot Pages, which turn Copilot Chat outputs into collaborative, editable canvases that support rich content, real-time co-editing, and seamless sharing across M365 apps.
Building Smarter Agents with FoundryIQ: Microsoft's Agentic RAG Platform: introduces FoundryIQ, a fully managed knowledge layer that enables agentic RAG by autonomously decomposing complex queries, planning multi-source searches, and synthesising answers across SharePoint, Blob Storage, OneLake, and the web. Observability in Generative AI: Building Trust with Systematic Evaluation in Microsoft Foundry: explains how Microsoft Foundry supports GenAIOps observability through evaluators for quality, safety, RAG grounding, and agent behaviour across the full lifecycle from model selection through production monitoring.
Serverless workspaces in Azure Databricks (GA): Azure Databricks serverless workspaces are now generally available, offering a fully managed SaaS experience with pre-configured serverless compute and default storage that eliminates the need for manual networking, cluster, and storage setup. Bringing together Fabric Real-time Intelligence, Notebook and Spark Structured Streaming Preview: a new preview integration lets developers access Eventstreams directly inside Spark Notebooks with auto-generated PySpark code and secure, secret-free connectivity, enabling low-latency real-time analytics and AI pipelines within Microsoft Fabric.
Reference Architecture for Highly Available Multi-Region Azure Kubernetes Service AKS: a practical reference architecture for running AKS across multiple Azure regions using Azure Front Door, geo-replicated data services, and regional ingress layers, with detailed trade-off analysis of active/active, active/passive, and cold standby deployment patterns.
Finally, upcoming community events: Join us at SQLCon 2026 (March 16–20) co-locates with FabCon in Atlanta featuring 50+ SQL sessions and shared keynotes, and SQLBits 2026 returns to ICC Wales (April 22–25) covering SQL Server 2025, Microsoft Fabric, AI-powered analytics, and more. Book your tickets now.
If you're interested in all things Microsoft Fabric - don't forget to sign up for our new newsletter - Fabric Weekly - which we'll start publishing in the next month or so. We'll be moving all Fabric content over from Azure Weekly to Fabric Weekly, just as we did with Power BI Weekly 7 years ago.
You can read my full review here.
OpenClaw (Clawdbot / Moltbot) is the open‑source AI agent that can operate your actual computer. And honestly? It's equal parts impressive, terrifying, and a glimpse of where OS‑level AI is heading.
OpenClaw isn't doing anything radically new on its own. What it does get right is packaging everything developers usually duct‑tape together. This includes:
It's the first time I've seen all of this bundled into something you can install in minutes.
You can control your PC from Slack or Discord. Yes, really. Tell your desktop to edit files or browse the web while you're away.
Free LLMs work, but only if you give very explicit instructions. Vague tasks often turn into JSON dumps instead of actions.
Browser automation is also still tricky. Navigation works, but form‑filling is hit‑or‑miss on Windows.
Trust is the real question. Giving an AI access to your filesystem and browser is a different psychological leap than using ChatGPT or Copilot.
If you're curious about where AI‑powered operating systems are headed, OpenClaw is worth a weekend experiment. Just be prepared for some quirks, especially on Windows, and think carefully about how much access you're comfortable granting.
I'm still figuring out how it fits into my workflow, but the potential is undeniable. If you've tried OpenClaw, I’d love to hear what worked (or didn't) for you.
Microsoft argues that Copilot+ PCs are also a new class of PCs built for gaming. In fact, the company says these new Windows 11 AI PCs “take gaming performance further,” but how much RAM (memory) do you need in 2026? According to Microsoft, 16GB is plenty for most games, but 32GB is recommended for serious gamers, ironically at a time when memory prices are rising.
Microsoft has a new marketing campaign for Copilot+ PCs where it tries to answer some of the basic questions, such as how fast the AI PCs are compared to older Windows 10 desktops, and pitches Copilot+ PCs as your solution.
As part of the same campaign, Microsoft is now encouraging gamers to consider “Copilot+ PCs” because it’s a headache to “match parts” and build a gaming PC or laptop.
“Copilot+ PCs are the smart choice to bring it all together,” the company argues in a document spotted by Windows Latest. Microsoft added that 16GB of RAM is plenty for most games, but if you’re a serious player who runs demanding titles or heavy mods, you should look for 32GB of RAM PCs.

Now, you have three options: build your own computer, find laptops that meet all your gaming requirements, or just choose one of the new Copilot+ PCs, which are already optimized for gaming.
Microsoft lists several hardware specs recommended for gaming, including at least 16GB of RAM (32GB ideal for serious gamers), an AMD Ryzen 5 5600 or Intel Core i5-12400, NVIDIA GTX 1660 Super or AMD Radeon RX 6600, SSD, and a high-end monitor. If you have these features, it’s supposedly gaming certified.
Most power gamers prefer to build their own gaming rig. However, Microsoft argues that part-matching is a ‘headache’ and it’s just better to buy a Copilot+ PC, which comes pre-configured with the latest CPU, GPU, thermal, and memory.
“If you’d rather skip the part-matching headache, Copilot+ PCs come pre-configured with the latest CPUs, GPUs, and thermal designs tuned for gaming, so you can dive straight into the action,” Microsoft noted.
Microsoft is making bold claims that its new AI PCs also have the best “thermal designs tuned for gaming,” which makes them a worthy alternative to a full-fledged gaming PC. But it doesn’t tell us how a Copilot+ PC performs in real games, at real settings, against a similarly priced custom build.

Also, it looks like Microsoft is slowly selling a new dream for Copilot+ PCs. While originally these PCs were “AI” first because they include an NPU for processing locally, Microsoft is now claiming that AI PCs are also gaming PCs and mixing the message in a way that can confuse regular customers.
In the same campaign, Microsoft lists “recommended” gaming parts like a GTX 1660 Super or RX 6600 and mid-range CPUs. That is fine advice for entry-level gaming, but it does not prove anything about Copilot+ PCs as a “new class” for gaming.

The company also claims these Copilot+ PCs are “faster than MacBook Air M4” and “up to 5x faster than a 5-year-old Windows device,” but it won’t comment on M4 Max or even M5 (base).
The post Microsoft says 32GB RAM is ideal for serious gamers on Windows 11, recommends Copilot+ PCs for gaming appeared first on Windows Latest
Read more of this story at Slashdot.
Read more of this story at Slashdot.