Build 2019 is no different: Microsoft previewed new Visual Studio features for remote work, unveiled the.NET roadmap, and launched ML.NET 1.0.

Two notable features were Visual Studio Live Share, a real-time collaboration tool included with Visual Studio 2019, and Visual Studio IntelliCode, an extension offering AI-assisted code completion.

And IntelliCode is now included by default in Visual Studio 2019, starting in version 16.1 Preview 2.

The company also previewed an algorithm that can locally track your edits repeated edit detection and suggest other places where you need that same change.

The company today announced a private preview for three such new capabilities: Remote-powered developer tools, cloud-hosted developer environments, and a browser-based web companion tool.

If the future of work is remote, Microsoft wants to be ready.

The ability to develop against remote machines brings plenty of advantages, Microsoft says, including being able to work on a different OS than the deployment target of your application, being able to leverage higher-end hardware, and having multi-machine portability.

A cloud-hosted developer environment means developers spend less time onboarding new team members, moving between tasks, and installing dependencies and more time coding.

The new service lets you spin up a cloud-based environment whenever you need to work on a new project, pick up a new task, or review a PR.

And, of course, these environments can be connected to Visual Studio 2019 andor Visual Studio Code.

Visual Studio Online will support Visual Studio Code workspaces, Visual Studios projects and solutions, as well as IntelliCode and Live Share.

It means you can join Visual Studio Live Share sessions or perform pull request reviews on the go.

Calling it.NET 5 makes it the highest version Microsoft has ever shipped and indicates that the company hopes it is the future for the.NET platform.

JIT has better performance for desktopserver workloads and development environments.

AOT has a faster startup and a small footprint, which is required for mobile and IoT devices..NET 5 will offer one unified toolchain supported by new SDK project types and a flexible deployment model (side-by-side and self-contained EXEs).

Microsoft then intends to ship a major version of.NET once a year, in November.

You will have access to the same runtime, API, and language capabilities with each app.

Automated Machine Learning (AutoML), given a data set, automatically figures out the featurization and algorithm selection phase to build the best-performing models.

You can leverage the AutoML experience in ML.NET using the ML.NET command line interface (CLI, available now in preview ), the ML.NET Model Builder (Visual Studio extension now in preview ), or by using the AutoML API directly.

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