Free Extension: Generate AI Development Prompts from Azure DevOps Work Items — Verity Framework
Hi Azure DevOps community, I wanted to share a free extension we just published to the Visual Studio Marketplace: the Verity Framework ADO Extension. **What it does** It adds a "Verity Prompt" tab to your work items. When you populate five custom fields on a User Story or Delivery Item, the extension generates a structured prompt ready to paste into Claude Code, Cursor, or GitHub Copilot Workspace. The five fields: - VF Intent — the problem and who experiences it - VF Value — the expected outcome - VF Appetite — time/resource ceiling (not an estimate) - VF Trust Criteria — Gate 2 hardening requirements - VF Failure Scope — Narrow / Moderate / Broad / Systemic **Why it matters** Most engineers using AI tools start from a blank context or a vague task description. The extension carries the team's planning judgment — including production risk level and hardening requirements — directly into the implementation context. It also includes field validation that flags vague Trust Criteria, incorrectly formatted Appetite values, and solution-framed Intent statements before generating the prompt. **Setup** About 20 minutes. You add five custom fields to your existing User Story work item type (no new work item type required). Full instructions are in the extension tab. **Install** Search "Verity Framework" on the Visual Studio Marketplace or visit idearoost.com/verity for the full framework context. Free. No subscription required. Happy to answer questions about the field definitions or the setup process. — Jacques Steward, IdeaRoost
[Feature Request] Edge for Business-Extension Policy-blank minimum version breaks ExtensionSettings.
Hi, I have a Core Edge for Business policy, where I manage settings and extensions for majority of users in my company. I was adding an extension to it to Allow an extension being installed. By default when You choose extension from a store it is getting added to GUI with setting "Allow". After that when I edit entry for this addon and tried to add minimum version (8.6 in Edge store, while schema is #.#.#) I decided not to add it to not overcomplex settings. I have saved the settings. Few second later all my extensions were gone, some users reported same problems. Luckly I have quickly reverted the changes so policies did not update for everyone. Replication steps: Under Edge://policy I have identified that ExtensionSettings report Error: Error at ExtensionSettings.hfaciehifhdcgoolaejkoncjciicbemc.minimum_version_required: Schema validation error: Invalid value for string Json shows: "hfaciehifhdcgoolaejkoncjciicbemc": { "installation_mode": "allowed", "minimum_version_required": "", "override_update_url": false, "toolbar_state": "default_hidden" }, In GUI there is no clue about it, looks like not configured, when saving all goes "green". Extensions are getting uninstalled. Once reverted some extensions are back and require reconfiguration. I.e. Passsbolt asks for recovery key. Please if possible add a feature to validate such settings to not allow saving : "minimum_version_required": "" as in some cases in production it might be a nightmire ( Imagine reconfiguring ## addons times #### Users ).
[Feature Request] Please allow hiding the Extensions button in Edge toolbar
I am using Microsoft Edge version 140.0.3485.66 on macOS. In this version, the Extensions menu button (the puzzle icon) is forced to stay visible on the toolbar, and the toggle in Appearance / Customize toolbar settings to hide this button has disappeared. I use some extensions, but I don't want the extension (puzzle) icon to show on the browser interface. You just need to roll back this feature to the state it was in the previous version. Keeping the Edge interface clean is a very good reason why I prefer Edge. I like using Edge instead of Google Chrome, and this is an important reason! I don't want you to make it more and more like Chrome!
Azurepipeline Extension- doesn't give any error nor able to show dynamic dropdown value
I have created an extension, pushed to Marketplace & then used it in my org all this went so smooth. then when I started building Pipe line at TASK step when I choose my extension it is populating a field that has options pre-defined. but when it comes to dynamic it says "Not Found" aka empty. Details:- Custom step has 3 fields. Category- Cars [ pre defined option list ] Color - Blue [ pre defined option list ] Car List - this used endpoint - https://gist.githubusercontent.com/Satyabsai/b3970e2c3d229de2c70f1def3007ccfc/raw/02dc6f7979a83287adcb6eeecddb5575bef3516e/data.json ******************** TASK.JSON file**************************** { "id": "d9bafed3-2b89-4a4e-89b8-21a3d8a4f1d3", "name": "TestExecutor", "friendlyName": "Execute ", "description": "Executes", "helpMarkDown": "", "category": "Test", "author": "s4legen", "version": { "Major": 5, "Minor": 4, "Patch": 0 }, "instanceNameFormat": "Execute Test Suite $(carlist)", "inputs": [ { "name": "category", "type": "pickList", "defaultValue": "Web", "label": "Category", "required": true, "helpMarkDown": "Select the ", "options": { "mobile": "car", "web": "truck", "api": "Plan" } }, { "name": "Color", "type": "pickList", "defaultValue": "Blue", "label": "color", "required": true, "helpMarkDown": "Select the ", "options": { "nonProd": "Blue", "prod": "Red" } }, { "name": "Carlist", "type": "pickList", "defaultValue" :"BMWX7", "label": "Carlist", "required": true, "helpMarkDown": "Select the list to execute", "properties": { "EditableOptions": "true", "Selectable": "true", "Id": "CarInput" }, "loadOptions": { "endpointUrl": "https://gist.githubusercontent.com/Satyabsai/b3970e2c3d229de2c70f1def3007ccfc/raw/02dc6f7979a83287adcb6eeecddb5575bef3516e/data.json", "resultSelector": "jsonpath:$[*]", "itemPattern": "{ \"value\": \"{value}\", \"displayValue\": \"{displayValue}\" }" } } ], "execution": { "Node16": { "target": "index.js" } }, "messages": { "TestSuiteLoadFailed": "Failed to load test from endpoint. Using default options." } } ************** ************************* const tl = require('azure-pipelines-task-lib/task'); const axios = require('axios'); const TEST_ENDPOINT = 'https://gist.githubusercontent.com/Satyabsai/b3970e2c3d229de2c70f1def3007ccfc/raw/02dc6f7979a83287adcb6eeecddb5575bef3516e/data.json'; async function getValue(field) { if (field === 'Carlist') { try { const response = await axios.get(TEST_ENDPOINT, { timeout: 5000 }); return { options: response.data.map(item => ({ value: item.value, displayValue: item.displayValue })), properties: { "id": "CarlistDropdown" } }; } catch (error) { tl.warning(tl.loc('TestLoadFailed')); } } return null; } async function run() { try { const color = tl.getInput('color', true); const category = tl.getInput('category', true); const carlist = tl.getInput('Carlist', true); const result = await axios.post(tl.getInput('clicQaEndpoint'), { testSuite, category, environment }, { timeout: 10000 }); tl.setResult(tl.TaskResult.Succeeded, `Execution ID: ${result.data.executionId}`); } catch (err) { tl.setResult(tl.TaskResult.Failed, err.message); } } module.exports = { run, getValue }; ******************** CAN SOMEONE TELL ME WHAT JSON RESPONSE IS ACCPETABLE BY AZURE TO POPULATE DROPDOWN DYNAMICALLY SOURCE IS apiFeature 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 YouApril 2025 Recap: Azure Database for PostgreSQL Flexible Server
Hello Azure Community, April has brought powerful capabilities to Azure Database for PostgreSQL flexible server, On-Demand backups are now Generally Available, a new Terraform version for our latest REST API has been released, the Public Preview of the MCP Server is now live, and there are also a few other updates that we are excited to share in this blog. Stay tuned as we dive into the details of these new features and how they can benefit you! Feature Highlights General Availability of On-Demand Backups Public Preview of Model Context Protocol (MCP) Server Additional Tuning Parameters in PG 17 Terraform resource released for latest REST API version General Availability of pg_cron extension in PG 17 General Availability of On-Demand Backups We are excited to announce General Availability of On-Demand backups for Azure Database for PostgreSQL flexible server. With this it becomes easier to streamline the process of backup management, including automated, scheduled storage volume snapshots encompassing the entire database instance and all associated transaction logs. On-demand backups provide you with the flexibility to initiate backups at any time, supplementing the existing scheduled backups. This capability is useful for scenarios such as application upgrades, schema modifications, or major version upgrades. For instance, before making schema changes, you can take a database backup, in an unlikely case, if you run into any issues, you can quickly restore (PITR) database back to a point before the schema changes were initiated. Similarly, during major version upgrades, on-demand backups provide a safety net, allowing you to revert to a previous state if anything goes wrong. In the absence of on-demand backup, the PITR could take much longer as it would need to take the last snapshot which could be 24 hours earlier and then replay the WAL. Azure Database for PostgreSQL flexible server already does on-demand backup behind the scenes for you and then deletes it when the upgrade is successful. Key Benefits: Immediate Backup Creation: Trigger full backups instantly. Cost Control: Delete on-demand backups when no longer needed. Improved Safety: Safeguard data before major changes or refreshes. Easy Access: Use via Azure Portal, CLI, ARM templates, or REST APIs. For more details and on how to get started, check out this announcement blog post. Create your first on-demand backup using the Azure portal or Azure CLI. Public Preview of Model Context Protocol (MCP) Server Model Context Protocol (MCP) is a new and emerging open protocol designed to integrate AI models with the environments where your data and tools reside in a scalable, standardized, and secure manner. We are excited to introduce the Public Preview of MCP Server for Azure Database for PostgreSQL flexible server which enables your AI applications and models to talk to your data hosted in Azure Database for PostgreSQL flexible servers according to the MCP standard. The MCP Server exposes a suite of tools including listing databases, tables, and schema information, reading and writing data, creating and dropping tables, listing Azure Database for PostgreSQL configurations, retrieving server parameter values, and more. You can either build custom AI apps and agents with MCP clients to invoke these capabilities or use AI tools like Claude Desktop and GitHub Copilot in Visual Studio Code to interact with your Azure PostgreSQL data simply by asking questions in plain English. For more details and demos on how to get started, check out this announcement blog post. Additional Tuning Parameters in PG17 We have now provided an expanded set of configuration parameters in Azure Database for PostgreSQL flexible server (V17) that allows you to modify and have greater control to optimize your database performance for unique workloads. You can now tune internal buffer settings like commit timestamp, multixact member and offset, notify, serializable, subtransaction, and transaction buffers, allowing you to better manage memory and concurrency in high-throughput environments. Additionally, you can also configure parallel append, plan cache mode, and event triggers that opens powerful optimization and automation opportunities for analytical workloads and custom logic execution. This gives you more control for memory intensive and high-concurrency applications, increased control over execution plans and allowing parallel execution of queries. To get started, all newly modifiable parameters are available now through the Azure portal, Azure CLI, and ARM templates, just like any other server configuration setting. To learn more, visit our Server Parameter Documentation. Terraform resource released for latest REST API version A new version of the Terraform resource for Azure Databases for PostgreSQL flexible server is now available, this brings several key improvements including the ability to easily revive dropped databases with geo-redundancy and customer-managed keys (Geo + CMK - Revive Dropped), seamless switchover of read replicas to a new site (Read Replicas - Switchover), improved connectivity through virtual endpoints for read replicas, and using on-demand backups for your servers. To get started with Terraform support, please follow this link: Deploy Azure Database for PostgreSQL flexible server with Terraform General Availability of pg_cron extension in PG 17 We’re excited to announce that the pg_cron extension is now supported in Azure Database for PostgreSQL flexible server major versions including PostgreSQL 17. This extension enables simple, time-based job scheduling directly within your database, making maintenance and automation tasks easier than ever. You can get started today by enabling the extension through the Azure portal or CLI. To learn more, please refer Azure Database for PostgreSQL flexible server list of extensions. Azure Postgres Learning Bytes 🎓 Setting up alerts for Azure Database PostgreSQL flexible server using Terraform Monitoring metrics and setting up alerts for your Azure Database for PostgreSQL flexible server instance is crucial for maintaining optimal performance and troubleshooting workload issues. By configuring alerts, you can track key metrics like CPU usage and storage etc. and receive notifications by creating an action group for your alert metrics. This guide will walk you through the process of setting up alerts using Terraform. First, create an instance of Azure Database for PostgreSQL flexible server (if not already created) Next, create a Terraform File and add these resources 'azurerm_monitor_action_group', 'azurerm_monitor_metric_alert' as shown below. resource "azurerm_monitor_action_group" "example" { name = "<action-group-name>" resource_group_name = "<rg-name>" short_name = "<short-name>" email_receiver { name = "sendalerts" email_address = "<youremail>" use_common_alert_schema = true } } resource "azurerm_monitor_metric_alert" "example" { name = "<alert-name>" resource_group_name = "<rg-name>" scopes = [data.azurerm_postgresql_flexible_server.demo.id] description = "Alert when CPU usage is high" severity = 3 frequency = "PT5M" window_size = "PT5M" enabled = true criteria { metric_namespace = "Microsoft.DBforPostgreSQL/flexibleServers" metric_name = "cpu_percent" aggregation = "Average" operator = "GreaterThan" threshold = 80 } action { action_group_id = azurerm_monitor_action_group.example.id } } 3. Run the terraform initialize, plan and apply commands to create an action group and attach a metric to the Azure Database for PostgreSQL flexible server instance. terraform init -upgrade terraform plan -out <file-name> terraform apply <file-name>.tfplan Note: This script assumes you have already created an Azure Database for PostgreSQL flexible server instance. To verify your alert, check the Azure portal under Monitoring -> Alerts -> Alert Rules tab. Conclusion That's a wrap for the April 2025 feature updates! Stay tuned for our Build announcements, as we have a lot of exciting updates and enhancements for Azure Database for PostgreSQL flexible server coming up this month. We’ve also published our Yearly Recap Blog, highlighting many improvements and announcements we’ve delivered over the past year. Take a look at our yearly recap blog here: What's new with Postgres at Microsoft, 2025 edition We are always dedicated to improving our service with new array of features, if you have any feedback or suggestions we would love to hear from you. 📢 Share your thoughts here: aka.ms/pgfeedback Thanks for being part of our growing Azure Postgres community.Create and share Copilot agents in SharePoint in a few clicks
Go behind the scenes to learn more about Copilot agents in SharePoint, powered by your content. What could be better? Copilot agents are built in Copilot Studio via our new, built-in lightweight agent builder experience in SharePoint. CJ and Karuana discuss the broader vision of Copilot agents and show you how to put this new capability to work within your SharePoint sites in Microsoft 365 - including IT management details and licensing insights. Check out the new Microsoft 365 Copilot agents in SharePoint adoption hub: https://aka.ms/SharePoint/agents. In addition, review the recent, related blog, "Microsoft 365 Copilot Wave 2: AI Innovations in SharePoint and OneDrive" by Adam Harmetz and Jason Moore. And review this short explainer video, "Copilot agents in SharePoint" taken from the "Microsoft 365 Copilot: Wave 2" event with Satya Nadella and Jared Spataro event broadcast - watch now:Restoring extensions and the invenient experience.
Hello Everyone! How are you? You've all gone through or will go through the experience of launching a Chromium-based browser at some point (especially Edge in this case) And see that when you reinstall your extensions through the automatic process (importing from your browser or your account) You're faced with THOUSANDS of extensions in your browser, with settings for extensions or welcome or anything like that! This isn't really a problem, but it can be really inconvenient sometimes when you're typing a text or looking for something and suddenly you're moved to a new tab or something. The question is: Why not just put a floating bubble under the extensions icon warning you that "Hey you have new extensions, click here and configure it!" This could be a great idea and would aid in a smoother and smoother experience that is less invasive and clearer! But let me know, what do you think of it?
