Browse All GitHub Copilot Content (394)

Visual Studio Code demonstrates how to use IntelliSense and GitHub Copilot to write, explain, and improve PostgreSQL queries without switching tools. The workflow also covers running queries and validating their results directly in the editor.

Waldek Mastykarz examines whether naming a workspace folder ‘eval’ changes GitHub Copilot CLI behavior. Across about 900 runs with four models, the name increased agents’ suspicion that they were being tested without producing statistically significant behavioral differences. The analysis explains the experiment’s controls, limitations, and practical guidance for evaluation harnesses.

Maggie Appleton, Martin Woodward, and Jocelyn Velarde close GitHub Universe 2026 with open-source perspectives and coding demos. The session explores learning with GitHub Copilot, scaling projects with AI agents, and collaborative AI planning, alongside creative experiments that highlight the craft of coding and building together.

Martin Woodward demonstrates how to install Super Mona on a GitHub Universe 2026 conference badge using GitHub Copilot. The demo shows copying repository instructions into Copilot Chat and letting the agent configure the app, then using the badge’s hidden capacitive buttons to play.

nareshvenkat introduces Project Osmos, a data engineering agent for Microsoft Fabric that investigates datasets, executes PySpark, and validates results. Persistent, shared tasks retain project context while teams define operating boundaries, review evidence, and guide changes. Tasks can be initiated through GitHub Copilot CLI, Claude Code, or Codex.

GitHub recaps the opening keynote at GitHub Universe 2026, covering a dedicated Copilot app, third-party connectors, and multi-model orchestration through Copilot Fusion. The video also highlights multi-repository agent workflows with Copilot Projects, cloud sandboxes, Code Review Max, code scanning, and architectural upgrades to Git.

GitHub recaps the GitHub Universe 2026 opening keynote, highlighting the new GitHub Copilot app, multi-model orchestration through Copilot Fusion, and autonomous task management in Copilot Projects. The video also covers Code Review Max for catching critical bugs and GitHub’s work to rebuild the core infrastructure underneath Git.

April Leonard, Jay Parikh, Cassidy Williams, Burke Holland, and Damian Brady present GitHub Universe 2026’s opening keynote. The session covers GitHub Copilot updates, autonomous agent workflows, agent-powered quality and security, and changes to GitHub’s core infrastructure, with live demonstrations of developer tools and capabilities.

LeeBenjamin introduces the generally available Govern experience in Microsoft Fabric’s OneLake catalog and the new Govern Skills collection. Together, they provide centralized estate insights, policy controls, and AI-assisted governance checks, with evidence-based recommendations and confirmation before sensitive changes through tools such as GitHub Copilot.

Satya Nadella outlines GitHub updates announced at Universe, including Copilot Fusion performance and cost claims, a unified Copilot harness in Foundry, and Copilot Projects for coordinating multiple agents across repositories. The post also notes plans to expand GitHub capacity and strengthen its architecture.

Jeff Hollan, Viswajeeet Balaji, and Anthony Chu introduce the Microsoft Copilot harness public preview in Foundry Agent Service and generally available resilience for hosted agents. They demonstrate reusable skills and declarative deployment, explain recovery responsibilities and preview limitations, and outline consumption-based runtime billing beginning December 1, 2026.

Jay Parikh outlines GitHub’s Universe 2026 announcements, including multi-repository Copilot projects, model orchestration, deeper code review, and enterprise access billed through AI credits. He also describes GitHub’s infrastructure expansion, redesigned Git architecture, and ongoing migration to a multi-region Azure deployment.

GitHub Staff examines the 2026 Octoverse findings on repository activity, agent-started pull requests, and changing model choices. The report connects growing use of coding agents with shifts in review workflows, GitHub Actions usage, and language participation, while explaining the telemetry’s limitations and announcing general availability of GitHub Copilot Fusion.

Allison announces the general availability of GitHub Copilot Fusion, which selects and orchestrates models for coding tasks. Developers choose between three effort levels, while administrators control eligible models and defaults. The announcement also covers supported clients, per-model billing, and a temporary discount for paid Copilot plans.

WSilveira introduces the public preview of the Logic Apps Standard CLI extension, covering local workflow creation, connector discovery, validation, execution diagnostics, and packaging. An Outlook-to-Blob walkthrough explains managed-identity setup and preview limitations, while a GitHub Copilot skill provides procedures for agent-assisted development with explicit approval for cloud changes.

Allison introduces updates to the GitHub Copilot app, including Projects for coordinating work across repositories and connected tools, and computer use in public preview on macOS and Windows. The app can return pull requests for review, work with design context, and control desktop apps with user approval.

Allison outlines a new GitHub Enterprise licensing model that includes GitHub Copilot access for licensed users, with AI usage charged against an enterprise budget. The announcement explains which features remain available without budget, the $10 monthly standalone option, and initial availability for enterprises working with GitHub or Microsoft account teams.

Allison introduces the GitHub security extension, now in public preview for the GitHub Copilot app. Developers can browse code scanning alerts, ask Copilot to explain or fix them locally, and review changes before opening pull requests. The announcement also covers permissions, AI credit usage, and supported GitHub environments.

Allison introduces GitHub intelligence, a context layer combining persistent Copilot memories, opt-in dreaming, and cross-repository code search. Copilot Memory is generally available on paid plans, while dreaming enters public preview with controls for personal and repository context, pull-request review of instruction changes, and AI-credit costs.

Allison introduces shared Copilot Automations, which let teams maintain repository-owned AI workflows for bug reproduction, pull request screenshots, and incident investigation. The rollout adds shared visibility, editing permissions, repository-owner billing, and workflows that keep running when their creator leaves, with an administrator policy required for organization-owned repositories.

Allison announces general availability of repository plugin defaults and enterprise-managed plugin controls for GitHub Copilot. Maintainers can configure default plugins, while enterprise administrators can require or block plugins and restrict marketplaces. The controls work across VS Code, Copilot CLI, and the GitHub Copilot app, with managed settings overriding personal choices.

Allison outlines GitHub Copilot updates in VS Code, including cloud session continuity, persistent local and remote agents, and mobile controls. The releases also cover parallel model comparisons, experimental desktop interaction, custom clients through Agent Host Protocol, and preview marketplaces and connectors with enterprise policy controls.

Allison introduces image generation and editing in GitHub Copilot, powered by GPT Image 2.5 Flare. The public preview lets developers request images conversationally, preview them inline, and save them to their workspace. Image tokens are billed separately from chat, while administrators can disable the feature through model policies.

Allison announces an opt-in experimental preview of GitHub Copilot Fusion routing between supported local and cloud models. The update covers managed Windows setup and manually configured CLI models across Windows, macOS, and Linux, with important limits: routing still requires the cloud, and local models may offer different safety protections.

Allison announces general availability of GitHub Agentic Workflows, which compiles natural-language Markdown into GitHub Actions workflows powered by coding agents. The release adds runner support, model routing, and stronger isolation, with read-only defaults and validated outputs. The default GitHub Copilot CLI engine requires a Copilot license.

Cassidy Williams and GPS welcome Martin Woodward to discuss how AI-generated pull requests affect open source maintainers and how contribution limits can help. They also explore the hackable GitHub Universe badge, including its hardware controls and GitHub Copilot-assisted MicroPython app deployments, alongside DevOps fundamentals and favorite open source projects.

Hailey Victory reviews how VS Code has evolved since GitHub Universe 2025, covering parallel agent sessions, shared cloud workflows, multiple harnesses and models, and project customization. The overview explains how developers can coordinate agent work across tools while retaining control over editing, debugging, access policies, and reviewing changes.

Allison announces public preview support for server-to-server authentication in GitHub Copilot. GitHub Apps can use short-lived installation tokens to make SDK requests on behalf of an organization without user credentials. Usage is billed to the organization, with its model policies, budgets, spending controls, and app access controls applied.

dotnet demonstrates how to build an agentic AI companion using the GitHub Copilot SDK, a .NET and Aspire backend, and an M5Stack StackChan robot. The session explores agent behaviors and tool use, then connects the agent to the robot’s display and movements.

GitHub takes viewers inside Pimoroni’s factory to explore how the hackable GitHub Universe 2026 badge is manufactured. The video follows stencil printing, component placement, and solder reflow, and covers the handheld console’s capacitive touch controls, auto-flipping interface sensors, and custom firmware developed with GitHub Copilot.

Mark Downie outlines the October Visual Studio 2026 update, including comparisons between historical commits and working trees, bulk merge conflict resolution, and a refreshed GitHub Copilot Chat experience. The update also adds opt-in preservation of unsaved work, keyboard-based tab reordering, and searchable Fonts and Colors settings with inline previews.

RamyaSharma describes how the Microsoft Intune team used GitHub Copilot modernization to migrate an enrollment service to .NET 8. Engineer-owned plans, progress records, and dependency mappings preserved context across sessions, reduced repeated work, and kept changes reviewable, while internal library mappings and deployment decisions remained manual.

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.

GitHub made the Copilot model policy API generally available and began rolling out one-time global defaults for unconfigured features, giving administrators programmatic policy controls without changing explicit feature choices. Six model retirements require developers to update workflows to supported alternatives, which enterprise administrators may need to enable. Visual Studio now supports attached pull request investigation and agent-assisted NuGet vulnerability fixes, while bring-your-own-model support moves to Agent (Preview) and requires users to re-add Ollama models. The consolidated GitHub app in Microsoft Teams adds coding actions to repository conversations, and Copilot app sessions can transfer their task context and worktree to VS Code for local development and validation. Expanded usage reports add client-level activity and named customizations, pairing broader agent workflows with more detailed administrative controls and reporting.

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.