Allison announces an update to the GitHub Copilot usage metrics API that adds a new totals_by_client breakdown, letting enterprises and organizations see request, session, and token usage coming from tools outside the IDE (like OpenCode, Copilot CLI, VS Code, and JetBrains).

Visual Studio Code introduces a four-part video series focused on doing more PostgreSQL work directly inside VS Code, including connecting to databases, writing and optimizing SQL, using GitHub Copilot to understand database context, and troubleshooting performance, with Azure mentioned as the underlying platform for modern PostgreSQL workloads.

Allison announces an updated GitHub app for Microsoft Teams that combines GitHub notifications with GitHub Copilot-powered actions, letting teams respond to issue and pull request updates by mentioning @GitHub to investigate, fix bugs, run tests, and open pull requests from within Teams.

Microsoft Security Research, Mahesh Mandava, Srinivasan Govindarajan, Sagar Patil and Suriyaraj Natarajan break down the LiteLLM 1.107.0 supply-chain compromise, showing how Python startup hooks enabled credential theft without importing LiteLLM, what data was targeted, and how to investigate and recover using Microsoft Defender detections and hunting queries.

GitHub demonstrates a hands-on workflow for going from a GitHub issue prompt to a deployed AI agent inside the GitHub Copilot app, using Azure AI Foundry tooling to provision resources, deploy a model, validate grounding to reduce hallucinations, and ship a secure proxy plus a website chat widget.

Allison summarizes the September 2026 update for GitHub Copilot in Visual Studio 2026, including PR exploration via the Git agent, preview BYOM support (with a breaking change to the new Agent harness), and a new flow to fix NuGet Audit vulnerabilities directly from the Error List.

Allison announces an update to the Copilot usage metrics API that reports configured names for custom skills, custom agents, MCP servers, slash commands, and plugins (instead of grouping them as “other/custom”), making it easier for admins to track adoption and usage trends across an organization.

Allison announces general availability of a global default policy for GitHub Copilot features on Copilot Business and Copilot Enterprise, explaining how unconfigured settings will be enforced during the rollout and where admins can review and override defaults.

Allison announces a new “Industry comparison” view in the GitHub Copilot impact dashboard, letting opted-in enterprises benchmark agentic adoption and leverage against aggregated peer data, with controls for policy-based participation, daily refresh, and data residency boundaries.

Marko Hotti and Patty Chow show how to build an Azure Cosmos DB app using AI-assisted development, starting from a blank folder and a product spec to generate a working travel planner. They cover data modeling, container design, queries, and local testing using the Cosmos DB Linux emulator and GitHub Copilot in VS Code.

GitHub explains how GitHub Copilot approvals can help teams avoid routine pull request review bottlenecks by letting Copilot provide delegated review approvals that count toward merge protection rules, while still combining that automated assessment with a human approval to satisfy branch requirements.

GitHub shares a September platform update roundup covering Project HydraFusion’s expansion to VS Code and the GitHub Copilot app, plus new workflow features like local sandboxing GA, automated PR approvals that can satisfy merge gates, and bulk autofix for CodeQL findings.

QixiaoWang introduces the Fabric Notebook Toolkit (FNTK) preview, a CLI that lets coding agents interact with live Microsoft Fabric notebooks—reading and editing cells, running code, and pulling outputs and Spark diagnostics—so iterative debugging and validation can happen directly from an agent-driven terminal workflow.

Patrick LeBlanc demonstrates Fabric Database Hub’s database agent for observing SQL Server databases, surfacing performance signals, and guiding investigation from detection through hands-on troubleshooting, including a blocking scenario in SSMS and follow-up analysis workflows in VS Code with GitHub Copilot support.

Amit Khandelwal demonstrates an end-to-end migration of a working app from SQL Server to Azure SQL Database Hyperscale, using SSMS assessments and VS Code tooling to evaluate readiness, address blockers, and execute a BACPAC-based move. He also shows GitHub Copilot helping resolve a Service Broker issue and validating the cutover.

Julien Dubois shares practical stories from three Java Champions using GitHub Copilot in real projects, focusing on agentic workflows, verification gates, and staying accountable for what ships—from large content migrations to debugging tricky concurrency issues on Raspberry Pi.

sonjagu rounds up the October updates for Azure SRE Agent, including new security and data residency guidance, enterprise deployment resources, GitHub Copilot Canvas collaboration, and new extension patterns like private Splunk MCP samples, Azure DevOps repo-backed plugin distribution, and ServiceNow response plans.

Microsoft Developer presents SQL Modernization Day, a set of sessions from the Microsoft SQL team focused on moving SQL Server workloads to Azure without rewriting applications, and then preparing those workloads for building AI-ready apps using modern Azure and Fabric SQL options.

GitHub shows how to fix repository issues from inside JetBrains IntelliJ by installing the GitHub Copilot plugin, browsing open GitHub issues, and using Copilot to generate an implementation plan and apply the changes with its coding agent.

Waldek Mastykarz tests whether swapping a real GitHub repo for a local bare git remote changes AI coding agent behavior during evals, focusing on a rebase scenario where the agent must decide whether to push without being asked.

Julia Muiruri demonstrates an end-to-end workflow for building and shipping an AI agent directly from Visual Studio Code, using GitHub Copilot and the Foundry Toolkit extension to pick a model, test the agent against a real product catalog, deploy to Microsoft Foundry, and connect it to a website via a secure proxy.

sushil_jarwal announces GitHub Enterprise Local and explains how it brings GitHub Enterprise Server-style source control and workflows to customer-controlled Azure Local environments. The post highlights a guided Azure deployment flow using Workload Orchestration, storing deployment secrets in Azure Key Vault, and AI options ranging from GitHub Copilot (connected) to Foundry Local models (restricted/disconnected).

Allison announces generally available REST API endpoints for retrieving and updating GitHub Copilot model policies across enterprises, organizations, teams, and enterprise apps, making it easier to centrally control which Copilot models are available at each scope.

Allison announces that several AI models have been deprecated across GitHub Copilot experiences as of October 19, 2026, and lists the supported replacement models. The post also calls out what Copilot Enterprise admins may need to change in model policies so alternatives show up in Copilot Chat.

Kayla Cinnamon explains how to move an existing GitHub Copilot app agent session into VS Code so you can review the diff, keep the full conversation context, make manual edits, run tests locally, and push updates back to the same pull request.

GitHub demonstrates an end-to-end workflow for taking an open GitHub issue to a pull request using GitHub Copilot inside JetBrains IntelliJ IDEA, including installing the plugin, planning the work, implementing a fix, reviewing changes, and validating accessibility.

Gerald Versluis explains why existing .NET MAUI apps can crash right after the splash screen when built with Xcode 27, and walks through migrating to UIKit’s scene lifecycle—either manually or by using the .NET MAUI CLI “maui-xcode27-migration” agent skill with GitHub Copilot CLI.

Bruno Capuano shows how to use Bring Your Own Model (BYOK) with the GitHub Copilot SDK in a small .NET 10 console app, routing inference to Microsoft Foundry or Azure OpenAI while keeping the Copilot runtime. The walkthrough covers ProviderConfig, endpoint normalization, and Entra ID vs API-key authentication.

kinfey explains how to add per-turn model routing to GitHub Copilot CLI and the VS Code Copilot extension without replacing the native Copilot experience. The post introduces Microsoft-Decision-1 in Azure AI Foundry as a fast “decision model” for structured scoring, then shows how to apply policy, privacy boundaries, and model pinning across tool continuations.

Welcome to this week's GitHub Copilot roundup, where model choice and agent workflows both became more concrete. Gemini 4 Argon reached general availability, HydraFusion picked up a refreshed pool plus a new HydraFusion Max mode, and GitHub flagged upcoming model deprecations that make policy-driven model governance a practical requirement. On the workflow side, agentic autofix for CodeQL alerts hit GA, VS Code 1.142 brought canvases and a more prominent model picker, and Copilot expanded beyond the IDE with multi-repo chat in Slack and Teams plus terminal-first agent shipping in Copilot CLI. Enterprise teams also got stronger telemetry controls, stricter managed settings enforcement, and clearer cost visibility with My AI Usage Canvas.

GitHub demonstrates the My AI Usage Canvas, a custom dashboard built around Copilot Chronicle commands to help developers visualize token consumption, see which AI models they use most, and understand usage patterns across repositories to identify practical ways to reduce AI costs.

abhilashasr threat-models Azure MCP Server for AI-assisted incident response, focusing on how Entra ID, Azure RBAC, Key Vault, Policy, and monitoring controls prevent an assistant from turning diagnostics into unintended production changes. It also includes a read-only demo connecting GitHub Copilot in VS Code to Azure Monitor and Log Analytics.

Fokko at Work demos selected GitHub Copilot and Visual Studio Code updates around the 1.142/1.143 timeframe, including comparing model outputs, improvements in the Agents window, and new UI elements like the Session Activity Bar. The video also covers running Copilot models locally on NVIDIA RTX hardware and notes how enterprise policies and pricing plans can affect feature availability.

RicardoDuncan rounds up the latest SQL developer tooling updates for VS Code, including new MSSQL extension features, GitHub Copilot schema-aware agent workflows, and Microsoft SQL “skills” for assessing and migrating SQL Server to Azure SQL, plus driver releases aligned with SQL Server 2025.

Allison announces updates to GitHub Copilot in Slack and Microsoft Teams, including multi-repo support in a single conversation plus improvements to mentions, repository switching, Slack thread context, and overall reliability.

GitHub demonstrates how the Logitech MX Keypad integrates with the GitHub Copilot app to control Copilot Chat and voice prompts from dedicated hardware keys, plus manage projects, sessions, and MCP server toggles without leaving the coding flow.

Martin Woodward explains how GitHub Copilot’s agentic workflows are shifting development from issuing commands to expressing intent, and why “ambient intelligence” needs strong context, clear boundaries, and developer control. He also shares a practical example: mapping Copilot actions to physical controls like the Logitech MX Keypad.

Allison announces a November 16, 2026 deprecation of several AI models across GitHub Copilot experiences, and explains what admins and teams need to do to keep Copilot Chat, agent modes, and other Copilot features working with supported alternatives.

Allison announces general availability of agentic autofix for GitHub code scanning alerts, where Copilot explores the codebase, proposes and validates fixes with CodeQL, and opens a draft pull request. The post also covers where it can be used, required policies and permissions, and how billing works with AI Credits and Actions minutes.

Allison announces updates to HydraFusion in GitHub Copilot, including a refreshed frontier-model pool, improved Cascade and Critique orchestration workflows, and a new HydraFusion Max option for deeper reasoning on demanding tasks across VS Code, the Copilot app, and Copilot CLI.