Browse All GitHub Copilot Content (294)

Visual Studio Code Team outlines the significant updates in VS Code 1.112 Insiders, focusing on Copilot CLI improvements, chat-based image analysis, and enhanced developer features.

GitHub shows how to use GitHub Copilot to help write code for a robot dog project, generating a custom servo “greeting” sequence that triggers when a Raspberry Pi 5 camera detects a human face.

Allison announces a new option in GitHub that lets repository administrators skip manual approval for GitHub Actions workflows triggered by Copilot coding agent, balancing workflow speed and security.

NagaSurendran details practical strategies for organizations migrating from Heroku, focusing on how Azure and its integrated tools—including GitHub Copilot and Microsoft Foundry—enable modern, secure, and intelligent cloud-native applications.

Allison announces a significant update for students as GitHub introduces the Copilot Student plan, offering a dedicated and AI-enhanced coding assistant tailored for educational use.

Pierce Boggan details how the VS Code team integrates AI and GitHub Copilot to streamline their development pipeline, covering automated code review, release cadence acceleration, and quality management strategies.

Randy Pagels shares practical tips for developers to maximize GitHub Copilot's effectiveness by providing better context and intent, rather than relying on longer prompts.

GitHub presents a beginner’s tutorial on using the interactive and non-interactive modes of the Copilot CLI, showing developers how to efficiently prompt Copilot from the terminal.

Mika Dumont explores how the modernize-dotnet agent empowers developers to modernize .NET projects from Visual Studio, VS Code, the Copilot CLI, or even directly on GitHub, generating structured upgrade plans and supporting custom workflows.

Carie Fisher explains how GitHub leverages GitHub Copilot, AI automation, and developer-centric workflows to turn accessibility feedback into actionable, continuously resolved issues. The piece details technical approaches, architecture, and human-in-the-loop best practices for delivering more inclusive code.

Allison presents the general availability of GitHub Copilot’s auto model selection in JetBrains IDEs, highlighting new flexibility and billing improvements for developers.

Jakub Oleksy presents a thorough incident report detailing GitHub's six major outages in February 2026, with insights on DevOps impact, Copilot disruptions, and ongoing platform reliability improvements.

Allison introduces a GitHub CLI update that enables developers to request Copilot code reviews directly from the terminal, improving code workflow and reviewer selection performance.

GitHub demonstrates how developers can speed up open source maintenance using the Copilot CLI’s /fleet command, allowing multiple tasks to be handled by Copilot agents in parallel.

shashban presents an overview of the Azure Copilot Migration Agent, highlighting its integration with GitHub Copilot to simplify, accelerate, and govern large-scale Azure migrations for developers and IT teams.

Allison details major improvements in GitHub Copilot for JetBrains IDEs, focusing on new agentic capabilities, user experience enhancements, and advanced customization for developers.

stclarke explores Microsoft’s rollout of agentic AI tools Azure Copilot and GitHub Copilot for unified modernization workflows, highlighting features that streamline cloud migration and application transformation for IT and development teams.

Mandy Whaley outlines how GitHub Copilot and the new modernization agent are bringing AI-powered automation to every stage of application modernization, with end-to-end workflows integrating deeply into Azure and developer toolchains.

Allison details new capabilities in GitHub Copilot's web interface, allowing developers to explore repository files and add references to chat seamlessly for more contextual development assistance.

Gwen Davis explains how the GitHub Copilot SDK brings agentic execution directly into applications, allowing developers to move beyond text-based prompts and orchestrate complex AI-driven workflows.