Adblock extensions stop working Edge iOS on clearing browsing data
Ghostery and uBlock Origin Lite are available on Edge iOS as MV3 extensions for ad blocking but they stops working when Clear Browsing Data option is clicked for either time period, Last hour or All Time For making them work, Edge needs to be restarted or extensions need to be re-enabled I request Edge iOS team to fix this issue
Chrome extension managed storage policy
Hi there, I've developed a chrome extension and now we want to deploy it using Intune. Force install of extension works great but I can't pass managed data to the extension. Here is the scheme: { "type": "object", "properties": { "apiKey": { "title": "API Key", "description": "An API key to communicate with server.", "type": "string" } } } This is the policy that I created in Intune: OMA-URI: ./Device/Vendor/MSFT/Policy/Config/Chrome~Policy~googlechrome~3rdparty~extensions~eagefwefpbjpewefliifpgfgoewfknnmk~policy Data type: String Value: {"apiKey":"mykey123"} But it doesn't appear in chrome://policy and when I get policies in my code with: const result = await chrome.storage.managed.get(null); The result is empty! What is the problem here? And how to fix it?Defender Browser Protection Extension for Chrome
Has any one noticed how pointless this extension is? Deployed using Intune with tamper protection so the user is forced to use it, but Microsoft has built in a disable feature to the extension that can not be controlled, or can it? Any ideas on how to harden this, or something for Microsoft to fix? Tamper Protection enabled: User can bypass by disabling the protection:Feature Badge Request
Hello, How can I request a feature badge for my extension on the Edge Add-ons Store? My extension, https://microsoftedge.microsoft.com/addons/detail/free-vpn-proxy-1vpn/dalhgafbhpdolibignjckpmiejgfddjp, follows Microsoft’s best practices for privacy, security, and user experience. It has more users and a higher rating than many VPN proxy extensions that currently have a feature badge. Without the badge, it doesn’t even show up when https://microsoftedge.microsoft.com/addons/search/1vpn, which seems like a poor experience for users. Thank YouPart 1 - Develop a VS Code Extension for Your Capstone Project
API Guardian - My Capstone Project As software and APIs evolve, developers encounter significant difficulties in maintaining and updating API endpoints. Breaking changes can lead to system instability, while outdated or unclear documentation makes maintenance less efficient. These challenges are further compounded by the time-consuming nature of updating dependencies and the tendency to prioritize new features over maintenance tasks. The absence of effective tools and processes to tackle these issues reduces overall productivity and developer efficiency. To address this, API Guardian was created as a Visual Studio Code extension that identifies API endpoints in a project and checks their functionality before deployment. This solution was developed to help developers save time spent fixing issues caused by breaking or non-breaking changes and to alleviate the difficulties in performing maintenance due to unclear or outdated documentation. Features and Capabilities This extension has 3 main features: Feature 1. Developers can decide if the extension will scan or skip specified files in the project. Press “Enter” to scan/skip all files. Type the file name (e.g., main.py) and press “Enter” to scan/skip a single file. Type file names with a delimiter (e.g., main.py | pythonFile.py) and press “Enter” to scan/skip multiple files. Feature 2. Custom hover messages when developers mouse over identified APIs This hover message will vary based on the status of the APIs. If the API returns a success status, the hover message will only show the completed API and its status. However, if an error occurs, the hover message will include this additional information: (1) API Name, (2) Official API Link, (3) Error Message, (4) Title of Recommended Fix and (5) Link to the Recommended Fix. Feature 3. Excel Report with Details of Identified APIs After all the identified APIs have been tested, an excel report will exported with the following information to allow developers to easily identify the APIs in the project. What Technology and Products does it involved? Building a Visual Studio Code extension and publishing it to the Visual Studio Marketplace involves a mix of technologies and tools. The project was initiated using the NPM package, generator-code, to set up a JavaScript project for developing the extension. All the extension's logic will be developed and managed within the "extension.js" file generated during the setup process. Once ready for deployment, we will package the extension using "vsce" to generate a ".vsix" file, which will then be used for deployment to the Visual Studio Code Marketplace. The deployment process involves requiring the user to create a publishing account and using tools like vsce to upload and manage the extension's version, updates, and metadata. As part of this process, you would need to create a Personal Access Token (PAT) from Azure DevOps. This token is used to verify your identity and authenticate the publishing tool, allowing you to securely upload your extension to the Visual Studio Marketplace. The PAT provides the necessary permissions for tasks such as version management, publishing new releases, and updating the extension metadata. What did I learn? Throughout this journey, I learned not just about the technical stack but also about the value of detailed project setup and secure publishing processes. While the technical steps can be challenging, they’re incredibly rewarding, and I’m excited to dive deeper into it moving forward. I’m looking forward to exploring how the extension can be further improved and enhanced. If you're interested in learning more about how my API guidance was built, keep an eye out for my next post! API Guardian https://marketplace.visualstudio.com/items?itemName=APIGuardian-vsc.api About the Authors Main Author - Ms Joy Cheng Yee Shing, BSc (Hon) Computing Science Academic Supervisor - Dr Peter Yau, Microsoft MVPDeploy Your First App Using GitHub Copilot for Azure: A Beginner’s Guide
Deploying an app for the first time can feel overwhelming. You may find yourself switching between tutorials, scanning documentation, and wondering if you missed a step. But what if you could do it all in one place? Now you can! With GitHub Copilot for Azure, you can receive real time deployment guidance without leaving the Visual Studio Code. While it won’t fully automate deployments, it serves as a step-by-step AI powered assistant, helping you navigate the process with clear, actionable instructions. No more endless tab switching or searching for the right tutorial—simply type, deploy, and learn, all within your IDE i.e. Visual Studio Code. If you are a student, you have access to exclusive opportunities! Whether you are exploring new technologies or experimenting with them, platforms like GitHub Education and the Microsoft Learn Student Hub provide free Azure credits, structured learning paths, and certification opportunities. These resources can help you gain hands-on experience with GitHub Copilot for Azure and streamline your journey toward deploying applications efficiently. Prerequisites: Before we begin, ensure you have the following: Account in GitHub. Sign up with GitHub Copilot. Account in Azure (Claim free credits using Azure for Students) Visual Studio Code installed. Step 1: Installation How to install GitHub Copilot for Azure? Open VS Code, in the leftmost panel, click on Extensions, type – ‘GitHub Copilot for Azure’, and install the first result which is by Microsoft. After this installation, you will be prompted to install – GitHub Copilot, Azure Tools, and other required installations. Click on allow and install all required extensions from the same method, as used above. Step 2: Enable How to enable GitHub Copilot in GitHub? Open GitHub click on top rightmost Profile pic, a left panel will open. Click on Your Copilot. Upon opening, enable it for IDE, as shown in the below Figure. Step 3: Walkthrough Open VSCode, and click on the GitHub Copilot icon from topmost right side. This will open the GitHub Copilot Chat. From here, you can customize the model type and Send commands. Type azure to work with Azure related tasks. Below figure will help to locate the things smoothly: Step 4: Generate Boilerplate Code with GitHub Copilot Let’s start by creating a simple HTML website that we will deploy to Azure Static Web Apps Service. Prompt for GitHub Copilot: Create a simple "Hello, World!" code with HTML. Copilot will generate a basic structure like this: Then, click on "Edit with Copilot." It will create an index.html file and add the code to it. Then, click on "Accept" and modify the content and style if needed before moving forward. Step 5: Deploy Your App Using Copilot Prompts Instead of searching for documentation, let’s use Copilot to generate deployment instructions directly within Visual Studio Code. Trigger Deployment Prompts Using azure To get deployment related suggestions, use azure in GitHub Copilot’s chat. In the chat text box at the bottom of the pane, type the following prompt after azure, then select Send (paper airplane icon) or press Enter on your keyboard: Prompt: azure How do I deploy a static website? Copilot will provide two options: deploying via Azure Blob Storage or Azure Static Web App Service. We will proceed with Azure Static Web Apps, so we will ask Copilot to guide us through deploying our app using this service. We will use the following prompt: azure I would like to deploy a site using Azure Static Web Apps. Please provide a step-by-step guide. Copilot will then return steps like: You will receive a set of instructions to deploy your website. To make it simpler, you can ask Copilot for a more detailed guide. To get a detailed guide, we will use the following prompt: azure Can you provide a more detailed guide and elaborate on GitHub Actions, including the steps to take for GitHub Actions? Copilot will then return steps like: See? That’s how you can experiment, ask questions, and get step-by-step guidance. Remember, the better the prompt, the better the results will be. Step 6: Learn as You Deploy One of the best features of Copilot is that you can ask follow-up questions if anything is unclear—all within Visual Studio Code, without switching tabs. Examples of Useful Prompts: What Azure services should I use with my app? What is GitHub Actions, and how does it work? What are common issues when deploying to Azure, and how can I fix them? Copilot provides contextual responses, guiding you through troubleshooting and best practices. You can learn more about this here. Conclusion: With GitHub Copilot for Azure, deploying applications is now more intuitive than ever. Instead of memorizing complex commands, you can use AI powered prompts to generate deployment steps in real time and even debug the errors within Visual Studio Code. 🚀 Next Steps: Experience with different prompts and explore how Copilot assists you. Try deploying more advanced applications, like Node.js or Python apps. GitHub Copilot isn’t just an AI assistant, it’s a learning tool. The more you engage with it, the more confident you’ll become in deploying and managing applications on Azure! Learn more about GitHub Copilot for Azure: Understand what GitHub Copilot for Azure Preview is and how it works. See example prompts for learning more about Azure and understanding your Azure account, subscription, and resources. See example prompts for designing and developing applications for Azure. See example prompts for deploying your application to Azure. See example prompts for optimizing your applications in Azure. See example prompts for troubleshooting your Azure resources. That's it, folks! But the best part? You can become part of a thriving community of learners and builders by joining the Microsoft Learn Student Ambassadors Community. Connect with like-minded individuals, explore hands-on projects, and stay updated with the latest in cloud and AI. 💬 Join the community on Discord here.
Edge Extension Publish/Upload API returns 500
I've just migrated from v1 to v1.1 of the https://learn.microsoft.com/en-us/microsoft-edge/extensions-chromium/publish/api/using-addons-api?tabs=v1-1#uploading-a-package-to-update-an-existing-submission. Since then I'm only receiving HTTP 500 responses from the API. All credentials are correct since I've also received some 4xx before that. The following is a curl req & res. All sensitive params are redacted. The exact same extension package gets distributed to the Chrome store. Nothing really changed in the extension package from v1 to v1.1. > POST /v1/products/.../submissions/draft/package HTTP/1.1 > Host: api.addons.microsoftedge.microsoft.com > User-Agent: curl/8.7.1 > Accept: */* > Authorization: ApiKey ... > X-ClientID: ... > Content-Type: application/zip > Content-Length: 345344 > * upload completely sent off: 345344 bytes < HTTP/1.1 500 Internal Server Error < Content-Length: 0 < Strict-Transport-Security: max-age=31536000; includeSubDomains < x-ms-middleware-request-id: ... < Request-Context: appId=... < Date: Tue, 04 Feb 2025 17:59:14 GMTHow to use GitHub Copilot for Azure?
Good news for everyone - GitHub Copilot is now available for free in VS Code!! Excited to try GitHub copilot for Azure in VSCode? Prerequisites: Account in GitHub Sign up for GitHub Copilot Account in Azure Install VSCode Step 1. Installation How to install GitHub Copilot for Azure? Open VS Code, in the leftmost panel, click on Extensions, type – ‘GitHub copilot for azure’, and install the first result which is by Microsoft. As shown in the Fig. 1.1 below: Fig. 1.1 How to install GitHub Copilot for Azure in VSCode 2. After this installation, you will be prompted to install – GitHub Copilot, Azure Tools, and other required installations. Click on allow and install all required extensions from the same method, as used above. Fig. 1.1.1 Installation of GitHub Copilot and sign in with GitHub Step 2: Enable How to enable GitHub Copilot in GitHub? Open GitHub, Click on top rightmost Profile pic, a left panel will open. Click on Your Copilot. Fig. 1.2 Locate GitHub Copilot Upon opening, enable it for IDE, as shown in the below Fig. 1.3 Fig. 1.3 Enabling Copilot Chat in the IDE Step 3: Walkthrough Open VSCode, and click on the GitHub Copilot icon from topmost right side. This will open the GitHub Copilot Chat. From here, you can customize the model type and Send commands. Type azure to work with Azure related tasks. Below Fig. 1.4 will help to locate the things smoothly: Fig. 1.4 Locating GitHub Copilot Chat in VSCode Scenario: Using the GitHub Repository If you have any of your project already available in the GitHub public repository, then paste the link of it in the chat section and append it with the below prompt: Prompt: This is my website deployed locally in GitHub, help me deploy in Azure. Hit Enter from the keyboard or Click the arrow sign, and proceed further with the instructions generated by the Copilot. Note: You will be prompted to Authenticate your Azure Account, simply follow the instructions said to authenticate. If you don’t have any website, paste the prompt written below in the chat section: Prompt: Could you help me create and deploy a simple Flask website by using an azd template? Fig. 1.5 Reply from GitHub Copilot for Azure As visible in the above Fig. 1.5, the GitHub Copilot for Azure will send template in the response. Hover the arrow over it, and then click on Insert into terminal, this will automatically insert the command in the terminal. Meanwhile, you may need to Authenticate your Azure Account, simply follow the instructions said to authenticate. It will take a few minutes to initialize. Meanwhile, answer the questions it asks, if unsure, simply ask the same question by copy pasting in the GitHub Copilot Chat, and it will guide you. You can ask more questions like: What does azd init command do? How the website will be deployed? What region, should I select? Once, you are clear with all of the doubts, type azd up command in the terminal, this will deploy the website in azure. Fig. 1.6 GitHub Copilot guiding the user to deploy This Command will ask which subscription you want to use to deploy your website. Fig. 1.7 Finding Subscription in Azure Portal Open the Azure portal, and type subscription in the search bar, as visible in Fig. 1.7. Click the first result and copy paste the Subscription ID visible there, to the GitHub Copilot chat, and append something like below: <Subscription ID> This is my Azure Subscription ID, deploy my website using it. <I reside in <Country Name> Once, done, you would be able to view the deployed website along with the new resources created in the Azure Portal. To un-deploy it, to free up the Azure resources, ask the same to GitHub Copilot, and it will guide you further! Tips and Tricks: For any error or Questions, directly ask to GitHub Copilot for Azure and it will answer your all queries, no limit! If unsure about anything, just paste the subscription id and share your country in the chat to get customized queries to run! Summary: GitHub Copilot can be used in VS Code for free, by installing thru extensions tab of VS Code. The deployment is done using just 2 commands: azd init and azd up To un-deploy, simply visit the directory and type azd down Happy 2025 with unlimited experiments using GitHub Copilot for Azure @VSCode for free!
