Browse All GitHub Copilot Content (483)

Microsoft Developer introduces the Microsoft Quantum Development Kit (QDK), an open-source platform for building quantum applications across Q#, Python, OpenQASM, Qiskit, and Cirq, with QIR support plus integrated simulation and resource estimation tools, and AI-powered assistance in VS Code and GitHub Copilot.

Allison explains a GitHub Code Quality change: enabling Code Quality no longer creates a ruleset that automatically requests GitHub Copilot code review on pull requests, and existing auto-created rulesets have had those settings turned off.

Jacklyn Carroll explains how slash commands in the GitHub Copilot app speed up common workflows like planning, pressure-testing designs, and delegating multi-step implementation work, with concrete examples you can paste into Copilot to get started.

James Montemagno gives a first look at using Kimi K3 (Moonshot’s open-weight model) inside GitHub Copilot in VS Code, focusing on what it enables for agentic coding and how developers can start trying it in their editor workflow.

Walker Chabbott announces that the open-weight Kimi K3 model is now generally available in GitHub Copilot, including where it can be selected, how it’s billed under usage-based pricing, and what Copilot Business/Enterprise admins need to do to enable it.

Sameen Karim demonstrates GitHub’s stacked pull requests workflow, showing how to split large feature branches into smaller PR layers, work with stacks from the GitHub CLI using the gh-stack extension, and merge an entire stack efficiently while using Copilot to help generate tests.

Mike Hulme explains why Microsoft was named a Leader in Gartner’s 2026 Magic Quadrant for AI-augmented code modernization tools, and outlines how GitHub Copilot modernization and Azure are positioned to assess, upgrade, and migrate legacy applications with agentic workflows while keeping developers in control.

Fokko at Work demos selected new features in Visual Studio Code 1.132 that affect day-to-day Copilot Chat and editor workflows, including tracking session activity from the chat input, starting side chats with /btw, terminal output reflow, and dictation onboarding/customization, with notes on enterprise policy and plan-based availability.

Mine Starks demonstrates the Quantum Development Kit (QDK) learning experience in VS Code, showing how guided lessons and hands-on Q# exercises are paired with GitHub Copilot assistance to help developers learn quantum computing fundamentals and progress into algorithms like Grover’s and Shor’s.

GitHub shows how Dan, a senior corporate counsel, uses GitHub Copilot CLI to verify AI-generated analysis by grounding outputs in source documents. The video highlights a custom Copilot CLI skill (“Eyeball”) that embeds inline screenshots to help reviewers validate clauses and act on AI outputs with more confidence.

Dan Hellem announces the general availability of the Azure DevOps Remote MCP Server, explaining how AI assistants can securely connect to Azure DevOps via a hosted endpoint. The post covers the minimal mcp.json setup, Entra ID authentication requirements, current client support, and when to use the local MCP server instead.

Lee Stott introduces Microsoft’s end-to-end agent platform (now GA) using the FibreOps reference implementation: build agents with the Microsoft Agent Framework and GitHub Copilot SDK, run them as hosted agents in Microsoft Foundry Agent Service, and distribute them to Teams and Microsoft 365 Copilot, with evaluation, routines, memory, and observability.

Allison announces that the GitHub Copilot Billing Preview app has been retired and explains how to manage Copilot spend directly in GitHub billing settings, including viewing AI usage, setting budgets, and exporting or pulling raw usage data via reports and the billing API.

Victoria shares how she built an internal “Innovation Marketplace” for the GitHub legal team using GitHub Copilot CLI, from planning and tracking work in GitHub Issues to deploying with GitHub Actions and GitHub Pages.

Bria Ford shares how GitHub’s legal team used GitHub Copilot CLI to turn repetitive legal work into repeatable, repo-backed workflows—ranging from contract drafting style guides to DMCA code-analysis playbooks—while keeping human judgment central.

Giles Odigwe announces the stable release of the GitHub Copilot Agent for Microsoft Agent Framework in .NET and Python, showing how to use Copilot’s coding harness (shell, file, URL, and MCP tools) with Agent Framework features like middleware, streaming, OpenTelemetry tracing, and human-in-the-loop approvals.

Allison announces the retirement timeline for GitHub Spark on github.com, including key dates, what happens to existing deployed apps, and what builders need to do to keep editing their apps after shutdown. The post also explains the impact of the earlier GitHub Models retirement on Spark apps that call llm().

GitHub walks through the My work tab in the GitHub Copilot app, showing how to manage issues and pull requests across repositories with default and custom views, filters, and layout options, and how to start agent sessions directly from work items.

John Savill recaps major Microsoft AI updates from July 2026, including new and updated models, Azure AI Foundry changes, and GitHub Copilot feature additions such as new “harness” options, @-mentioning app agents, and browser tools for Copilot in VS Code.

Visual Studio Code shares a short tip on teaching GitHub Copilot your project-specific rules using custom instructions, as part of learning agentic development in VS Code.

Allison announces that GitHub Copilot cloud agent now lets you choose a reasoning level (for supported models) when starting a task, trading off deeper reasoning against higher token and credit consumption across paid Copilot plans.

Allison announces a GitHub Copilot Enterprise governance update that lets enterprise admins target managed settings to specific enterprise teams using itemized configuration files, so large orgs can scale guardrails while still letting teams tailor Copilot within defined boundaries.

Allison announces a new GitHub Copilot capability: Copilot cloud agent automations can now be triggered by issue comments or pull request comments, enabling comment-driven workflows like generating documentation, investigating errors, and creating follow-up tasks.

John Edward breaks down what GitHub Copilot does (and doesn’t) send to the service, how training and retention settings vary by subscription, and the practical security risks teams should plan for when using AI-assisted coding in real projects.

This week's GitHub Copilot roundup focuses on model churn and tighter governance: Gemini deprecations forced admin action, while new default enablement and team-targeted model policies changed how access evolves over time. GitHub Models retired, pushing model operations toward Microsoft Foundry while Copilot stays the developer-facing layer for chat, agents, and review. On the product side, Grok 4.5 and MAI-Code-1-Flash add new tradeoffs around context, latency, and token efficiency, and client updates across VS Code, Visual Studio, JetBrains, and the Copilot app make agent workflows easier to run at scale. We also cover the practical side of adoption, including expanded usage rollups, budget enforcement that can actually stop overages, and managed settings that extend to the Copilot app, cloud agent, and remote control.

GitHub shows how to use voice prompting in the GitHub Copilot app to quickly turn a spoken “brain dump” into a usable text prompt, helping you get started faster when you’re not sure how to phrase what you want.

Allison announces upcoming GitHub Copilot model deprecations effective September 1, 2026, including the impacted Copilot experiences and the recommended replacement models. The post also calls out an exception for some annual individual subscribers and explains what Copilot Enterprise admins may need to change in model policies.

Allison announces the deprecation of the Gemini 2.5 Pro and Gemini 3 Flash models across GitHub Copilot experiences, and explains what Copilot Enterprise admins may need to change in model policies so users can select supported alternatives in VS Code and on github.com.

Allison announces a public preview for GitHub Enterprise that lets Copilot admins target AI model policies to enterprise teams, so different groups can be granted additional models beyond an enterprise-wide baseline.

Amaury Levé introduces an open-source polyglot unit-test generation agent that learns a repo’s conventions, writes tests, and validates they build and run in the project’s normal test workflow. The post explains the agent’s research/plan/execute/check loop, shows benchmark results versus stock Copilot, and includes setup commands for Copilot CLI and VS Code.

Allison announces the retirement of GitHub Models as of July 30, 2026, including the shutdown of the playground, model catalog, inference API, and BYOK support. The post also points teams to Microsoft Foundry for model access and GitHub Copilot for building AI-powered workflows on GitHub.

Cassidy Williams shows how she used the GitHub Copilot app to modernize an old React codebase by splitting work into stacked sessions and stacked pull requests, keeping changes reviewable while iterating on plans, branching strategy, and dependency upgrades.

Shawn Henry and Tamir Dresher show how to run a multi-agent “Squad” team on top of the GitHub Copilot CLI/SDK and expose it as a first-class Microsoft Agent Framework (MAF) AIAgent in a .NET app, including DI wiring, session configuration, and OpenTelemetry-based observability.

Visual Studio Code shares a quick tip for reducing token usage and improving GitHub Copilot results by running a grammar check on your prompt before submitting it in VS Code.

Allison summarizes the July 2026 updates for GitHub Copilot in Visual Studio, including a new preview agent built on the Copilot SDK, built-in .NET and Azure skills, selected-code review actions, and organization-wide custom instructions for consistent Copilot behavior across teams.

Allison announces a new GitHub Copilot enterprise managed setting that lets organizations restrict which managed devices can host remotely controlled Copilot sessions, including options to require SSO, disable remote control, or allow it without restrictions.

Gwyneth Peña-Siguenza demonstrates how to debug a real Python API in VS Code, covering breakpoints, stepping, variable inspection, watch expressions, and the call stack, plus how GitHub Copilot can help you understand failures and fix bugs faster.

Fokko at Work demos selected new features in Visual Studio Code 1.131 that relate to GitHub Copilot, including subagents session information in the Agents window and dictation mode, with notes on how enterprise policies and pricing plans can affect feature availability.

Allison summarizes the July 2026 GitHub Copilot updates in Visual Studio Code (v1.127–v1.131), focusing on the Agents window workflow, multi-chat sessions, model and chat controls (including Copilot Vision and BYOK), plus editor, terminal, browser, and accessibility improvements.

demiajayi introduces new Cost Management and Pricing toolsets for the Azure Resource Manager MCP server, enabling AI agents (including GitHub Copilot clients) to query costs, forecast spend, manage budgets and alerts, retrieve pricing, and analyze AKS costs directly through Azure’s control plane.