Browse All GitHub Copilot Content (517)

GitHub shows how they use a GitHub Copilot app to monitor multiple community feedback streams and repository boards, then turn that input into actionable tasks with a single prompt.

GitHub announces general availability of the GitHub Copilot desktop app for macOS, Windows, and Linux, positioning it as an agent-native control center for working across repositories. GitHub highlights features like isolated git work trees and agent merge to help manage parallel agent workflows without losing context.

Lee Stott explains the Model Context Protocol (MCP) and why it’s becoming a practical standard for connecting LLM apps to tools and data. The post highlights recent updates to Microsoft’s MCP for Beginners curriculum, including spec alignment, validated SDK samples, and a security-focused refresh with concrete fixes and audits.

Allison announces an update to the GitHub Copilot usage metrics API reporting: enterprise and organization reports now include total pull requests merged per AI adoption phase, alongside existing per-user averages, making it easier to compare throughput and quantify adoption impact.

Reynald Adolphe and the VS Code product team recap the June updates, with live demos of new Visual Studio Code features and recent GitHub Copilot improvements, plus a Q&A-style chat with the community.

GitHub shares an episode of The Download covering the general availability of the GitHub Copilot desktop app as a control center for managing multiple AI agents, plus updates on Anthropic pulling specific models offline and a quick look at Arnis for generating Minecraft worlds from real geography.

Allison announces the general availability of MAI-Code-1-Flash, Microsoft AI’s in-house coding model, for GitHub Copilot Business and Copilot Enterprise, including how admins enable access via Copilot policies and where to find model and billing documentation.

Allison announces GitHub Desktop 3.6, adding Git worktree support and deeper GitHub Copilot features for commit authoring and merge conflict resolution. The update introduces a Copilot SDK foundation, a model picker for Copilot features, and BYOK support for third-party or local models.

Natalie Guevara shares benchmark results for the GitHub Copilot agentic harness, focusing on token efficiency and task-resolution parity across multiple coding-agent benchmarks. The post explains how Copilot’s shared harness is evaluated against model-vendor harnesses and how multi-model support (20+ models) affects cost, quality, and reproducibility.

Allison shares updates to GitHub Copilot code review, including clearer visibility when Medium analysis depth is used and new org-level defaults for review depth. The post also explains a behind-the-scenes change that improves review efficiency by switching to Copilot CLI/SDK file exploration tools.

Allison announces a public preview update that lets enterprises restrict which marketplaces GitHub Copilot CLI and VS Code can install plugins from, using the strictKnownMarketplaces setting in enterprise-managed settings.json to reduce the risk of untrusted plugins.

Fokko at Work demos what’s new for GitHub Copilot in Visual Studio Code 1.126, focusing on cost visibility, improved controls for context and reasoning, and updates to the Agents experience including multiple chats and native feedback.

GitHub hosts a Rubber Duck Thursdays coworking stream that talks through updates from the GitHub changelog and discusses the GitHub Copilot app, alongside general live coding and developer Q&A.

Poonam Gupta shares how Microsoft is reshaping the software development lifecycle with an internal “agentic platform”, using GitHub Copilot, Azure SRE Agent, and specialized agents to reduce toil across planning, code review, security remediation, operations, and modernization—along with measurable results from large-scale adoption inside Microsoft.

Priyanka Vergadia hosts David Sanchez to demo “agentic DevOps” using GitHub and Azure, showing how AI and GitHub Copilot can support planning, coding, reviews, CI/CD, testing, security checks, and monitoring across an end-to-end delivery pipeline.

Hidde de Smet explains how MCP’s Enterprise-Managed Authorization changes MCP authentication from per-server OAuth consent to policy-driven sign-in via an identity provider, with VS Code 1.123 preview support for Entra ID, Okta, and Auth0 and governance controls that pair with GitHub Copilot’s MCP registry policies.

Allison announces general availability of GitHub Copilot for Jira, highlighting new controls for Copilot coding agent sessions inside Jira issues, plus preview enhancements like model selection, Confluence context via MCP, custom agents/fields, and review request notifications.

analyticanna rounds up the Microsoft SQL updates shipped in the first half of 2026 across Azure SQL, SQL Server, and SQL database in Microsoft Fabric, with links to each GA/Preview announcement. Highlights include T-SQL regex features, Entra-based logins, TDE improvements, embeddings support, and new tooling in SSMS and VS Code (including GitHub Copilot features).

Allison announces a change to GitHub Copilot Free and Student plans: model selection is now handled only through Copilot auto model selection, which dynamically routes each task to an appropriate model and removes manual model choice.

GitHub announces updates to GitHub Copilot CLI that add a terminal UI and tighter GitHub platform workflows, including tabs for issues and pull requests, quick access to gists, and slash-command driven actions like creating PRs and assigning reviewers from the terminal.

Allison announces the general availability of GitHub Copilot CLI’s redesigned terminal interface, including tabbed navigation for issues, pull requests, and gists, plus an in-terminal setup flow for MCP servers, skills, plugins, and settings, with improved accessibility features.

Kayla Cinnamon demonstrates using MAI-Code-1-Flash inside VS Code via Copilot Chat to ship a feature end to end—navigating an existing codebase, building and running the project, and validating changes with tests—while also calling out the model’s cost benefits.

John Edward introduces the GitHub Copilot Desktop App and explains how it extends Copilot beyond the IDE into a standalone workspace for understanding repositories, planning work, and getting AI help across day-to-day development tasks.

Allison announces BYOK support in the GitHub Copilot app, letting developers run agent sessions against their own model providers (including Azure OpenAI and Microsoft Foundry) while keeping billing, quotas, and data-handling terms under their control.

GitHub introduces a beginner-friendly walkthrough of the GitHub Copilot app as a central place to manage work from idea to pull request, including using AI agents to explore issues, build features, and review changes in parallel.

Allison summarizes new GitHub Copilot updates for JetBrains IDEs, including org/enterprise custom agents, better control of long-running Copilot CLI requests, an agent debug logs summary view, and a public preview of Claude as an agent provider, plus model picker and AI credits visibility improvements.

GitHub shows how a GitHub engineer uses the GitHub Copilot app with MCP server integrations to automate morning triage, including scheduled workflows, a daily brief, and surfacing prioritized issues to reduce noise before the day starts.

Visual Studio Code highlights a quick path for moving a project from .NET Framework 4.8 to .NET 10 in VS Code, and points viewers to the AwesomeCopilot repository for related resources.

This week, GitHub Copilot moved further into an agent-first workflow with the Copilot desktop app reaching general availability, tightening the loop from issue to merge with canvases, parallel sessions, and Git worktrees under the hood. At the same time, Copilot is getting more explicit about model operations: Auto mode is now available to everyone in Copilot Chat, token efficiency work is reducing long-session overhead, and teams need to plan for the Opus 4.6 (fast) deprecation with policy-aware replacements. On the governance side, new enterprise controls, richer usage and AI credit reporting, and better attribution for agent-opened pull requests make it easier to roll out agents responsibly. Rounding it out, MCP and agent discovery expanded into build diagnostics, database tooling, and cross-editor workflows (CLI, JetBrains, and SSMS), showing where Copilot integrations are heading next.

GitHub provides a beginner-friendly walkthrough of GitHub Copilot CLI, covering installation and configuration, interactive vs non-interactive usage, slash commands, connecting Model Context Protocol (MCP) servers, and using agents, skills, and instructions to automate terminal workflows.

Nikita Bajaj explains how Azure Migrate integrates with GitHub Copilot Modernize (public preview) to generate portfolio-level code insights across multiple applications and repositories, helping teams assess Azure readiness, review remediation guidance, and plan modernization work using a shared workflow between migration admins and developers.

Allison announces an update to the GitHub Copilot usage metrics API that adds per-user AI credit consumption, letting orgs and enterprises track daily usage patterns and relate consumption to adoption and budgeting.

Natalie Guevara explains how GitHub built Qubot, an internal GitHub Copilot-powered analytics agent that lets employees ask plain-language questions over warehouse data and get answers quickly, with results captured as markdown reports in pull requests and validated through an offline evaluation framework.

John Savill runs through the weekly Azure update for 19th June 2026, covering a VS Code Azure Functions project-creation refresh, Azure Migrate’s GitHub Copilot integration, networking and storage feature updates, Azure Databricks integration with OneLake, and new Log Analytics summary rules.

GitHub shows a quick demo of the GitHub Copilot app by asking its agent-first desktop experience to create a custom canvas workspace and run a WebAssembly port of Doom, illustrating what Copilot canvases can execute inside the app.

Julia Kasper (VS Code Eval Team) breaks down what an ultra-simple “write HELLO.txt” agent eval revealed after 50,000+ runs: models vary widely in tool-call discipline, planning overhead, and output-token cost, and those differences matter for latency, billing, and automatic model selection in VS Code.

Allison announces that the Opus 4.6 (fast) model will be deprecated across GitHub Copilot experiences on June 29, 2026, and points teams to Opus 4.8 (fast) as the replacement, including notes for Copilot Enterprise admins on enabling the model via policy.

Allison announces that MAI-Code-1-Flash, Microsoft’s small coding model tuned for GitHub Copilot, is rolling out across more Copilot surfaces, including IDEs and the Copilot CLI, with availability expanding gradually and Business/Enterprise access coming soon.

Allison announces updates to GitHub Copilot code review, including support for repository-level AGENTS.md instructions and UI changes that make it easier to request reviews on draft pull requests while reducing timeline noise.

Erin Stellato introduces GitHub Copilot Agent mode (preview) in SQL Server Management Studio (SSMS), showing how you can give Copilot a high-level goal in natural language and have it iterate by running queries and working through results, with controls for read-only vs read/write behavior.