Microsoft has unveiled the first piece of the Windows Copilot Runtime. We tried it out and had disappointing results, with many bugs and few supported models.
The lightweight .NET web framework has arrived in a stable 1.0 release, ready to help build front ends and RESTful APIs for cloud applications.
Dev containers allow developers to build and share development environments in containers and start coding faster with more consistency and security.
Microsoft has open sourced a key piece of its AI security, offering a toolkit that links data sets to targets and scores results, in the cloud or with small language models.
Microsoft is making its collaboration platform more developer-friendly as a place to host apps and a place to build them.
Open-source application framework combines building blocks for Kubernetes and support for classic distributed application design patterns. More is on the way.
A new tool from Microsoft aims to bridge the gap between application development and prompt engineering. Overtaxed AI developers take note.
At Build, Microsoft described how Azure is supporting large AI workloads today, with an inference accelerator, high-bandwidth connections, and tools for efficiency and reliability.
Microsoft delivers a one-stop shop for big data applications with its latest updates to its data platform.
Microsoft’s Power Platform AI tooling gets a major update and a new role in process automation.
Microsoft is not simply making a big bet on AI in Windows, but betting that natural language and semantic computing are the future of Windows.
Microsoft has added new skills to its LLM-powered Copilot in Azure and opened up access to everyone.
Microsoft’s Concise API Design Language has a new name and a larger role to play in building REST, OpenAPI, gRPC, and other services.
New tools for filtering malicious prompts, detecting ungrounded outputs, and evaluating the safety of models will make generative AI safer to use.
A new managed signing service on Azure offers low-cost, low-touch code signing with integration into GitHub Actions.
An open-source collection of low-level tools helps you troubleshoot cloud-native applications by delivering key data from the heart of the Linux kernel.
Microsoft has rolled its Git Virtual File System and Scalar optimizations into a fork of Git designed to support enormous repos and large distributed teams.
It’s time to update your older cross-platform .NET applications. Should you use MAUI or something else?
New techniques make graph databases a powerful tool for grounding large language models in private data.
The open-source Retina brings observability to container networks in Kubernetes using eBPF.
Microsoft continues to evolve its Azure Kubernetes Service. Kubernetes co-creator Brendan Burns tells us where it’s going next.
The open-source cloud-native runtime security tool is now a graduated CNCF project. Is it time to use it in your Kubernetes applications?
It’s time to move away from passwords. Microsoft has tools to help you get started.
Microsoft has quietly added a cloud-hosted secure tunnel to Visual Studio and VS Code, making it easier to test APIs, web services, and mobile back ends.
A first preview release of the next .NET sets the scene for a year of platform development focused on cloud-native and AI-powered applications.
LinkedIn needed a better way to test and tune machine learning models, so it wrote its own tool that plugs into Visual Studio Code.
Microsoft Graph provides one unified API to search all content in SharePoint, OneDrive, Outlook, and other Microsoft 365 services. That changes how we build SharePoint applications.
The cloud and automation go hand in hand. Use Azure Automation and runbooks to deploy and manage Azure infrastructure and platform services.
Amazon simplifies writing Lambda functions in C# with features like Lambda Annotations, which uses C# source generators to generate code from a REST API path. Support for .NET 8 is coming soon.
Microsoft Research is experimenting with the development of tailored AIs that minimize resource usage.
Microsoft is laying the groundwork for a hardware-accelerated Azure cloud with its own custom AI silicon, Arm server processors, virtualization offload, and more.
How do we measure developer productivity, and how do we use that to improve products and the workplace?
Available in an early preview, Microsoft’s AI development environment for the desktop lets you build small language models that run on PCs and mobile devices.
Hardware-backed confidential computing in Microsoft Azure now includes protected environments for VMs, containers, and GPUs, without the need to write specialized code.
From GPU support to reference implementations, the latest updates to Azure Container Apps combine Microsoft’s commitment to developer productivity with its latest AI development tools.
Microsoft’s low-code and copilot-driven AI builder makes it easy to train chatbots on internal data, and ‘boost’ them with GPT and external data sources when appropriate.
Microsoft’s cloud-based AI development environment, now in public preview, takes a more streamlined approach to building AI-powered applications.
Leaner container images, simpler code syntax, and a welcome surprise—.NET Aspire, an opinionated stack for building cloud-native applications with .NET.
A new open-source tool from The Browser Company sets us on the road to bringing Swift apps from iOS and macOS to Windows.
A new release of Uno in advance of .NET 8 adds support for MVUX and C#-based markup.
Build, manage, and deploy Kubernetes applications using infrastructure-as-code techniques, with separation of concerns and dependency graphs.
Microsoft’s cloud-hosted data lake and lakehouse platform gains new data science tools and opens up Power BI datasets to Python, R, and SparkSQL.
Microsoft’s new C# Dev Kit extension for Visual Studio Code turns the programmer’s editor into a complete development environment for .NET.
Microsoft’s free cloud migration tools simplify the process of bringing applications and services out of your data center and into the cloud.
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