Browse GitHub Copilot News (234)

Gregg Cochran shares lessons from Session 4 of the GitHub Secure Open Source Fund, where 50 projects used GitHub security tooling, expert guidance, and AI-assisted workflows to make measurable security improvements—covering incident response, supply chain risks, and how maintainers can use tools like GitHub Copilot for triage and remediation.

Allison announces that Gemini 3.7 Flash is rolling out as a selectable model in GitHub Copilot, with noted improvements in web/app development and agentic coding workflows, plus better code quality, codebase research, and verification for complex tasks.

Kayla Cinnamon walks through the basics of getting started with the GitHub Copilot app, focusing on how to write an effective first prompt, attach the right project context, and iterate on results as Copilot works through a task.

Allison announces general availability of Agent Plugins 1.0 across VS Code, Copilot CLI, the GitHub Copilot SDK, and the GitHub Copilot app, explaining how the open standard packages skills plus MCP server configuration into a single portable plugin and how enterprises can govern plugin and marketplace access.

Wendy Breiding explains how to keep GitHub Copilot (and other frontier coding models) effective by treating repository instructions as a high-signal budget: document the local facts, constraints, and validation commands the model can’t infer, and remove vague “prompt folklore” that adds noise.

sbaynes announces MAI-Code-1.1-Flash, a new coding model now running in GitHub Copilot, focused on better code quality and lower cost. The post highlights token-efficiency gains, benchmark improvements in Copilot CLI and .NET tasks, and production metrics like code survival and return visits.

Allison highlights what’s new in the GitHub Enterprise Server (GHES) 3.22 release candidate, including Copilot CLI support for disconnected environments, Enterprise Teams GA, improvements to secret scanning workflows, and more granular repository ruleset controls for reviews and bypass permissions.

Allison announces a GitHub Copilot for JetBrains release that adds persistent Copilot Memory, brings Ollama support as a BYOK model provider, and expands enterprise controls. The update also improves Codex/agent workflows, streamlines Copilot CLI setup from IDE terminals, and includes a set of UX and reliability fixes.

Allison announces that the MAI-Code-1-Flash model will be deprecated across GitHub Copilot on September 10, 2026, and replaced by MAI-Code-1.1-Flash. The post explains what Copilot Enterprise admins may need to change in model policies and where users will see the updated model.

Natalie Guevara explains how “agentic” workflows change day-to-day development: developers don’t just write code, they design the delivery system around it. The article outlines a practical GitHub-centered flow where Copilot-driven agent work is triggered by repo events and validated through CI, reviews, and branch protections.

Allison announces that MAI-Code-1.1-Flash, Microsoft’s small-tier coding model with native vision support, is rolling out in GitHub Copilot, including where it can be selected, which Copilot plans get access, and how it’s billed under usage-based pricing.

Allison announces an update to GitHub Copilot billing reporting: the AI usage report now includes a per-model token breakdown (input, output, cache read/write) alongside AI credits, making it easier to explain charges and identify cost drivers.

Edward Burns introduces the GitHub Copilot SDK for Java and walks through a Jakarta EE 11 sample app that runs Copilot agent sessions on virtual threads, registers tool-calling APIs via annotations or lambdas, streams events to a real-time UI, and supports BYOK model providers (including Azure endpoints).

Allison announces updates to Copilot Chat on github.com, including new controls to minimize the chat overlay and quickly resume recent conversations, plus in-chat indicators that show token spend and per-session/per-message quota to help track usage and budget.

Allison summarizes weekly GitHub Copilot updates across the Copilot app, Copilot CLI, and VS Code, focusing on session workflows, side questions, model/credit visibility, and new review and feedback capabilities that help developers stay in context while iterating on changes.

Allison announces a new “Potential return on investment” section in the GitHub Copilot impact dashboard, helping admins relate Copilot spend (based on AI credit consumption) to pull request output and adoption phases, with updated cohort counting across the full 28-day reporting window.

Allison announces general availability of Lite and Balanced effort levels for GitHub Copilot code review, letting teams tune review depth per pull request and set organization-wide defaults that repositories can inherit.

Allison announces an update to the GitHub Copilot usage metrics API that adds per-agent reporting for third-party agent apps (such as Claude and Codex) used in GitHub workflows. The change introduces a new totals_by_3rd_party_agent array and clarifies how to interpret the new counters alongside existing telemetry fields.

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.

Allison announces a generally available GitHub Copilot enterprise control that lets owners allowlist or denylist Model Context Protocol (MCP) servers via managed settings, helping teams approve trusted MCP endpoints and block untrusted or non-compliant ones across supported Copilot clients.

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.

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.

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.

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.

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.

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().

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.

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.

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.