Browse All GitHub Copilot Content (383)

Allison announces general availability of assisted permissions in GitHub Copilot CLI, GitHub Copilot app, and Visual Studio Code. A language model evaluates command, file-path, and URL requests, automatically allowing those classified as clearly safe. Enterprise administrators can control available permission modes and set defaults for new sessions.

Louis Erbkamm shares how Arnis converts real-world geographic coordinates into playable Minecraft worlds using OpenStreetMap data. The video explores the project's international contributor community and how its sole maintainer uses GitHub Copilot to triage bug reports, review pull requests, and keep the project moving.

Allison announces GPT-6.1 Terra’s general availability in GitHub Copilot for everyday agentic coding and terminal tasks. The model uses provider list pricing under usage-based billing, with gradual rollout across supported clients. Business and Enterprise administrators can control access through model policies and default enablement settings.

Cynthia Zanoni and Pooja Yarabothu explain how Microsoft’s PostgreSQL extension brings database exploration, SQL editing, and troubleshooting into VS Code. They show how GitHub Copilot can help interpret schemas and query plans, while emphasizing result verification and careful review of performance recommendations before making changes.

Visual Studio Code demonstrates how the PostgreSQL extension and GitHub Copilot help you explore an unfamiliar database. The episode covers inspecting schemas, tables, views, and functions, visualizing relationships, asking context-aware questions in Copilot Chat, and checking answers against the database to understand its data model.

Visual Studio Code demonstrates a PostgreSQL workflow combining the PostgreSQL extension’s IntelliSense and database context with GitHub Copilot. The video covers drafting, explaining, analyzing, and improving SQL queries, then running them, inspecting results, and exporting data without leaving the editor, while keeping developers in control of the final queries.

Welcome to this week's GitHub Copilot roundup, covering generally available model policy APIs, six model deprecations, and the rollout of global feature defaults. Visual Studio and Microsoft Teams updates give developers new ways to start agent tasks, while expanded usage reporting helps administrators understand client activity and customizations. We then cover model routing and custom endpoints, issue-to-pull-request workflows, and application walkthroughs that pair agent-assisted development with testing, credential protection, and human review.

Ben Steenhoek and Ulugbek Abdullaev explain how configurable eagerness lets paid GitHub Copilot subscribers adjust inline suggestions in VS Code. They describe the low, medium, and high modes, the training approach behind them, reward-hacking mitigations, and experimental results showing how suggestion frequency and size change.

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.