Azure IoT Edge Tools (Preview) for Visual Studio 2017 allows you to easily develop and debug Azure IoT Edge modules locally. To learn how to use this extension to develop and debug Edge module locally, you can refer these documents:
Easily Develop and Debug Azure IoT Edge C Modules with Azure IoT Edge Tools
Use Visual Studio 2017 to develop a...
Azure IoT Edge Tools (Preview) for Visual Studio 2017 allows you to easily develop and debug Azure IoT Edge modules locally. To learn how to use this extension to develop and debug Edge modules locally, you can refer these documents:
Easily Develop and Debug Azure IoT Edge C Modules with Azure IoT Edge Tools
Use Visual Studio 2017 to develop ...
Happy New Year! Azure IoT Hub for VS Code 2.1.0 is the first version released in the year of 2019. In the release, we have several great updates for performance optimization, code generation and user experience! You could see the full Changelog here: https://marketplace.visualstudio.com/items/vsciot-vscode.azure-iot-toolkit/changelog
Together with the new Azure IoT Tools for VS Code extension pack, we also overhauled the experience of Azure IoT Device Workbench. And there is another exciting sample contributed by Chris Lovett (Github) from Microsoft Research about running Embedded Learning Library (ELL) on MXChip IoT DevKit to achieve the keyword spotting locally.
Now Azure IoT Edge for VS Code 1.6.0 has been released with a bunch of new features.
What’s new in Azure IoT Edge for VS Code 1.6.0
Click to see the changelog in Github repo for more details of 1.6.0 release.
Resources
Really another milestone! We are glad to see that the Azure IoT Hub for VS Code has reached 200K installs now, with all 5-star ratings. More and more Azure IoT developers are using Azure IoT Hub for VS Code in their daily work. Azure IoT Hub for VS Code makes it easy to develop, build, deploy and test your Azure IoT application in the same develope...
Today we are pleased to announce a preview of Azure IoT Edge tools for Visual Studio 2017. Azure IoT Edge is a fully managed service that delivers cloud intelligence locally by deploying and running artificial intelligence (AI), Azure services, and custom logic directly on cross-platform IoT devices. This preview offers the ability to create Azure ...
IoT Application Development is naturally more complicated than regular application development, in that even the simplest E2E IoT application involves a long chain from device layer, to communication layer, then to the cloud and beyond. This makes the development especially the testing and debugging difficult. Even though there are corresponding to...