Browse All GitHub Copilot Content (379)

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 new features in Visual Studio Code 1.142 with a focus on GitHub Copilot and related UI changes, including canvases and the redesigned model picker, plus workflow improvements like moving chats between folders and worktrees.

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.

Jakub Oleksy reports on GitHub’s September 2026 reliability work and incidents, including database pressure reductions, overload controls, added headroom for GitHub Actions, expanded failure containment for pull requests, and progress moving production workloads and traffic to Azure.

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.

paulyuk shows how the Azure SRE Agent canvas fits into GitHub Copilot (App and Copilot CLI) so on-call engineers can validate an agent’s incident diagnosis with their own telemetry, queries, and access controls, then share a reviewed update back to the team.

Microsoft Developer demonstrates an end-to-end workflow for building and shipping a hosted AI agent from the terminal using GitHub Copilot CLI and Microsoft Foundry, including planning, resource creation, model selection, evaluation-driven improvements, and a secure Azure Functions proxy to connect the agent to a website chat experience.

James Rempt shares takeaways from VSLive! San Diego on how experienced Visual Studio developers are adopting GitHub Copilot and other AI tools, while spending more time validating generated code and leaning on hands-on learning. The post also highlights how Visual Studio Subscription benefits support ongoing skill-building.

Allison announces general availability of the Gemini 4 Argon model in GitHub Copilot, including where developers can select it, which Copilot plans get access, and how admins can control availability via model policy and default model enablement settings.

mk_sunitha introduces Fabric App functions (preview), a TypeScript-based serverless capability for Fabric Apps that lets builders run secure server-side logic, use application authentication to access downstream resources, and manage secrets safely. The post also shows how to scaffold, debug, and deploy functions, including using GitHub Copilot in VS Code.

Allison announces updates to GitHub Copilot enterprise managed settings enforcement, including a startup policy freshness requirement and minimum client version enforcement for the sandbox managed setting key.

Allison announces new GitHub Copilot enterprise managed telemetry controls that let admins attribute Copilot activity to a specific user while keeping prompts, responses, and tool content disabled by default, with fine-grained OpenTelemetry capture settings across Copilot CLI, the Copilot app, and VS Code Agent Host sessions.

Christopher Harrison explains how to make GitHub Copilot more effective on a real codebase by storing project context in the repo. He covers repository and path-specific instructions, reusable “agent skills” for repeatable procedures, custom agents for broader work, and MCP servers (including Playwright) to connect Copilot to external tools.

Welcome to this week's GitHub Copilot roundup, where the main story is Copilot getting more practical in enterprise settings through on-device models, intelligent routing between local and cloud inference, and generally available local sandboxing powered by Microsoft eXecution Container (MXC). Model choice expanded across Copilot surfaces with Claude Haiku 5.5 going GA and Copilot CLI adding local model discovery via Ollama, making it easier to standardize speed, cost, and privacy defaults across teams. On the governance side, GitHub introduced a purpose-built secret detection model that spans GitHub and Copilot, and added org-level billing and policy controls for Copilot code review so spend and eligibility are easier to manage.

Allison announces updates to GitHub Copilot for JetBrains, including enterprise-managed default agent models, a new “Fix” action from diagnostics that opens inline chat, and controls for MCP server startup. The release also improves chat navigation and account UX, boosts reliability, and drops support for JetBrains IDE 2025.1.

GitHub hosts a two-hour live-coding session with Wes Bos, Burke Holland, and Pierce Boggan showing how GitHub Copilot can take a 3D foldable phone simulator from scratch to running functional web apps, including parallel agent workflows, model choices, and practical debugging in the browser.

Allison summarizes the October 5 weekly GitHub Copilot releases, covering a new Claude Haiku 5.5 model option, generally available local sandboxing controls for agent sessions, Copilot app account separation for licensing vs repos, Copilot CLI local model discovery via Ollama, and new VS Code agent-session management features.

GitHub shares a short documentary-style look at what a 48-hour hackathon is actually like, from idea formation and rapid prototyping to learning through trial and error. It also touches on how tools like GitHub Copilot can help participants turn rough concepts into working applications under tight time constraints.

Fokko at Work demos what’s new in Visual Studio Code 1.141, focusing on workflow and UI updates plus several GitHub Copilot improvements, including continuing external Copilot sessions, sandboxing in the Copilot agent host, persistent chat progress, and visibility into discovered MCP servers.

Patrick Nikoletich explains how GitHub Copilot agent sessions can move between devices using GitHub’s shared agent runtime, the Copilot SDK, and the Agent Host Protocol, including a live demo that hosts an agent on a home Linux machine and connects to it from the Copilot CLI.

Allison announces new admin controls for GitHub Copilot code review, including organization-level billing options to avoid consuming individual member quotas and policy settings that restrict who can trigger Copilot review requests when external/personal licenses are involved.

sbaynes explains how GitHub Copilot is rolling out local, on-device AI coding on new Windows PCs, including automatic routing between local and cloud models, a new MAI Code 1.1 Flash local model build, and sandboxed tool execution using Microsoft Execution Containers (MXC).

Allison announces that Claude Haiku 5.5 is now generally available in GitHub Copilot, positioned as a lightweight model for fast, high-volume coding tasks like subagents, quick edits, and terminal workflows, with access controlled via Copilot plan entitlements and enterprise model policies.

GitHub explains an upcoming GitHub Copilot feature that intelligently routes some requests to local, on-device models (including Ollama and Microsoft Foundry Local) to reduce cloud usage, enable offline workflows, and keep sensitive data on the machine.

Erin Havens shares GitHub data showing secret leaks are scaling with the volume of code being pushed, then explains how GitHub Secret Protection is using a fast ModernBERT-based classifier to improve push protection for unstructured secrets and reduce the human cost of remediation.

Allison announces a new fine-tuned GitHub model for context-aware leaked secret detection across secret scanning alerts, push protection, and GitHub Copilot /security-review. The post explains what’s changing, where it’s available (including GHES 3.23), and how AI Credits and budgets apply to the new opt-in checks.

Allison announces general availability of local sandboxing for GitHub Copilot, adding a secure execution boundary for agent-run tools and commands on developer machines across Copilot CLI, the Copilot app, and VS Code Agent Host sessions.

Allison announces an update to GitHub Copilot CLI that lets you discover and select supported local models from a running Ollama instance using the new /model picker, without restarting your session. The post also clarifies how adding local models relates to offline mode, telemetry, and remote providers.

Visual Studio Code introduces “Blobby” as the new VS Code Pet and shows how to enable it from GitHub Copilot Chat using the /vscode-pet command.

Allison explains why GitHub Copilot usage metrics may undercount agent activity after some IDEs moved agent sessions to the Copilot SDK, and what to do to restore accurate reporting. The post lists the fixed IDE versions, what report gaps to expect, and why missing data can’t be backfilled.

Rory Preddy demonstrates an end-to-end workflow in VS Code using GitHub Copilot to build and debug a Java Spring Boot app, then expose app capabilities as MCP tools and validate behavior with Playwright tests.

Mahmoud A. Atallah shows how he uses GitHub Copilot agents in VS Code to turn meeting transcripts and other customer inputs into structured requirements and execution-ready delivery artifacts, then enriches them with Azure guidance via MCP servers and the Well-Architected Framework.

Alex Weininger introduces the Canvas authoring plugin, which guides GitHub Copilot through the native create-canvas workflow to generate an Azure canvas app based on Microsoft Canvas Toolkit, including a read-only starter and patterns for safe, explicitly scoped Azure operations.