Browse All GitHub Copilot Content (490)

Allison announces expanded GitHub Copilot app reporting in the Copilot usage metrics API, adding user attribution and rollups across features, models, and languages, plus token and code activity breakdowns to help enterprises compare Copilot surfaces consistently.

Chris Noring explains how to investigate unexpected GitHub Copilot Enterprise AI-credit spend and then control it using GitHub Billing guardrails. The post walks through identifying the SKU driving costs, attributing usage to organizations and cost centers, and applying budgets, alerts, and per-user limits without breaking productive workflows.

Allison announces that Grok 4.5 (xAI’s reasoning model) is rolling out in GitHub Copilot, highlighting its large context window, multimodal inputs, and suitability for agentic, multi-step coding workflows. The post also covers where you can select the model and how admins enable it for Business and Enterprise.

Mark Downie introduces the Visual Studio July update, centered on a new Agent (Preview) in Copilot Chat built on the GitHub Copilot SDK. The post also covers built-in .NET and Azure skills, org-level Copilot custom instructions, attaching Git branches as chat context, and improved MSVC toolset discovery for reproducible C++ builds.

GitHub walks through starting a session in the GitHub Copilot app, including writing a first prompt, adding project context from a local folder or GitHub repository, choosing an AI model, and using voice input to describe coding problems.

tonimontez explains how to govern GitHub Copilot’s usage-based spend using GitHub’s native budget controls first, then adds an Azure API Management gateway in front of an Azure AI Foundry (Azure OpenAI) deployment for real-time, token-granular quotas and per-developer telemetry.

Allison announces updates to GitHub Copilot for JetBrains, including configurable OpenTelemetry export for agent workflows, tighter controls for model behavior (token limits, enabling/disabling built-in models), and support for MCP servers and custom agents in Claude agent flows, plus Copilot CLI and UX improvements.

Allison announces a new dedicated policy for the GitHub Copilot app, letting enterprises and organizations control access independently from Copilot CLI. The update keeps existing guardrails in place by routing changes through isolated workspaces and pull requests, so reviews, checks, and audit history still apply.

Burke Holland shares a practical GitHub Copilot “harness” workflow for building features end-to-end: pick a Copilot surface, enable more autonomy safely, prototype and plan in the same session, implement with Autopilot, then iterate and run a Rubber Duck review to catch blind spots.

Allison announces that enterprise managed settings now apply to the GitHub Copilot app and Copilot cloud agent, letting enterprise owners enforce a single managed-settings.json policy across more Copilot clients, including controls for plugins, marketplaces, and approval-prompt bypass behavior.

Yuliia Kovalova and Jan Krivanek introduce the MSBuild Binlog Analyzer for VS Code, a preview extension that uses GitHub Copilot Chat plus an MCP server to explain build failures, pinpoint performance bottlenecks, compare builds, and spot regressions directly from MSBuild .binlog files.

Christopher Harrison introduces the GitHub Copilot app and shows how it supports real-world development workflows with project-scoped agent sessions, Quick Chat for parallel threads, interactive canvases for visual iteration, and Agent Merge to help move pull requests through CI and review.

Welcome to this week's GitHub Copilot roundup, where the story is less about a single assistant and more about a platform you can tune, govern, and measure. The model picker keeps expanding (Claude Opus 5 and Gemini 3.6 Flash), while cloud agents show up in more places like Linear, GitHub Mobile (for failed Actions checks), and GitHub Issues with new automation controls. On the operations side, Copilot adds clearer AI Credits visibility, cost center pools, and an impact dashboard, and GitHub Code Quality reaches GA with Copilot Autofix bringing fix suggestions directly into PR workflows.

Reynald Adolphe and members of the VS Code and GitHub Copilot teams recap the past month’s updates, with live demos of notable Visual Studio Code improvements and GitHub Copilot changes, plus a chance for viewers to ask questions in chat.

Allison announces that Anthropic’s Claude Opus 5 is now selectable in GitHub Copilot, highlighting its strengths on long-running, multi-step coding tasks and agentic workflows, plus where it’s available, how admins enable it for Business/Enterprise, and how usage-based billing applies.

Fokko at Work walks through what’s new for GitHub Copilot in Visual Studio Code 1.130, focusing on assisted tool approvals, Agents window improvements, and chat updates, with notes on how enterprise policies and plan differences can affect feature availability.

Kayla Cinnamon gives a quick tour of the redesigned editor panel inside the Agents window in VS Code 1.129, showing how the updated layout supports agent-driven workflows and keeps code editing and AI-assisted interactions in one place.

Allison announces general availability of Copilot cloud agent for Linear, letting teams assign Linear issues to Copilot to produce draft pull requests, run work in an ephemeral environment backed by GitHub Actions, and report progress back into Linear with configurable models, branches, and custom agents.

Allison announces that GitHub MCP Server already supports the upcoming stateless MCP specification, outlining protocol changes (like removing sessions and initialize) and what GitHub changed internally to stay compatible while improving scalability and verification.

Allison announces a GitHub Mobile improvement that lets you use the Copilot cloud coding agent to investigate and fix failing GitHub Actions checks directly from a pull request, creating a follow-up PR for you to review and merge.

Allison announces a public preview for GitHub Issues agent automation controls, adding approvals, confidence ratings, and rationale so teams can review or auto-apply agent-driven changes like labeling, assigning, and closing issues.

GitHub shows how to tailor the GitHub Copilot for Jira integration so teams can reach draft pull requests faster, using ticket-level and space-level instructions to set defaults like target repo and branch naming, and to route specific work (such as API refactors) to custom agents.

James demonstrates how the GitHub MCP Server connects GitHub Copilot to GitHub workflows inside VS Code, enabling natural-language issue management, pull request creation, and code review without switching tools.

Visual Studio Code shares a short clip highlighting a GitHub Copilot-related “did you know?” tip in VS Code, framed as a quick GitHub “hacking” moment for developers.

junjieli introduces the Foundry Agent Canvas (public preview), a GitHub Copilot App extension that lets developers discover resources, scaffold and configure a Foundry hosted agent, test it locally with an embedded Agent Inspector, and deploy it to Foundry Agent Service using azd-driven workflows.

Andrea Griffiths breaks down what GitHub Copilot subscriptions pay for beyond raw model API calls, including the developer workflow surfaces Copilot connects, how GitHub AI Credits are metered, and when direct API access (or BYOK) makes more sense for teams building their own agent systems.

Allison announces a new GitHub Copilot metrics impact dashboard for enterprise admins and org owners, turning Copilot usage metrics API cohort data into a visual view of adoption depth, developer impact, and recommended next steps to move users into deeper adoption phases.

GitHub demonstrates how to kick off GitHub Copilot work directly from Jira to produce a draft pull request, including three ways to trigger Copilot and what the review-ready output looks like in GitHub.

GitHub shows how the GitHub Copilot app can run multiple AI coding agent sessions in parallel, so different parts of a codebase can be worked on at the same time. The example highlights splitting work across agents for bug fixes, test writing, and feature development without clobbering each other’s changes.

Jacklyn Carroll introduces canvases in the GitHub Copilot app: shared, interactive workspaces that let you collaborate with an agent beyond a chat thread. The article shows example prompts and outcomes for building canvas extensions that support issue triage, codebase visualization, session/worktree cleanup, prompt coaching, and cross-tool knowledge discovery.

GitHub gives a beginner-friendly tour of the GitHub Copilot app, positioning it as an agent-native desktop workspace for GitHub tasks. It shows how to start an agent session, hand off a real coding task, watch Copilot explore a codebase, run tests, and iteratively review and merge changes.

Allison announces that Gemini 3.6 Flash is rolling out as a selectable model in GitHub Copilot, highlighting its focus on coding and longer-horizon agentic tasks, plus where it’s available and what admins need to enable for Business and Enterprise plans.

Allison announces that GitHub Enterprise Cloud admins can now manage a cost center’s AI credit pool directly in the billing UI for Copilot Business and Copilot Enterprise, including automatic pool limit calculation and options for what happens when the included credit limit is reached.

GitHub introduces GitHub Code Quality (now generally available) and shows how CodeQL analysis plus AI-assisted findings and Copilot Autofix can surface and fix issues directly in pull requests, with rulesets to enforce quality gates at merge time.

Allison announces an update to GitHub Copilot usage reporting: Copilot Business and Copilot Enterprise users can now see the number of AI credits used in the current billing cycle, even when an admin hasn’t configured an individual budget.

This week, GitHub Copilot got easier to measure and easier to govern, with expanded usage metrics (including Copilot app activity) and new repository-level reporting that links adoption to where work ships. Security workflows tightened as AI detections land directly in pull requests, agentic autofix can open draft remediation PRs with validation reruns, and the Copilot app adds an on-demand /security-review check. On the tooling side, Visual Studio and JetBrains pushed multi-model choice, endpoint control, and safer integrations (including MCP trust and BYOK endpoints), while Copilot code review became more configurable and even usable from GitHub Mobile for quick fixes.

Allison announces general availability of repository-level GitHub Copilot usage metrics via the Copilot usage metrics REST API, enabling daily per-repository reporting for Copilot coding agent and Copilot code review pull request activity across enterprises and organizations.

Allison announces an update to the Copilot usage metrics API that adds dedicated reporting for GitHub Copilot app activity in enterprise and organization reports, including active user counts and token usage breakdowns.

Allison announces new controls for GitHub Copilot code review, including reading custom instructions from the PR head branch, expanded instruction file support, repository-level setup steps via a workflow YAML, and a default-on firewall with separate configuration from Copilot cloud agent.

Allison announces a GitHub Mobile improvement that lets you start “Fix with Copilot” directly from Copilot code review pull request comments, making it quicker to address review feedback from a phone while keeping PRs moving.