Content by github (369)

GitHub introduces using GitHub Copilot through JetBrains Air, connecting an existing account to run coding and testing tasks locally with project context or in isolated cloud environments with Air Teams. The video covers plugin configuration and explains how this option differs from the native GitHub Copilot plugin.

GitHub walks through the GitHub Universe 2026 badge’s built-in games, apps, and custom digital profiles. The video also shows how to use GitHub Copilot for setup help when adding community games from Ashley Wolf’s repository, including installing the classic Microsoft 3D Maze screen saver on the badge hardware.

GitHub puts attendees at GitHub Universe 2026 on the spot with three Git trivia questions. The video tests knowledge of repository forks, git blame, and blob objects, offering a quick check of familiarity with version control commands and the internal objects Git uses to store content.

GitHub recaps the opening keynote at GitHub Universe 2026, covering a dedicated Copilot app, third-party connectors, and multi-model orchestration through Copilot Fusion. The video also highlights multi-repository agent workflows with Copilot Projects, cloud sandboxes, Code Review Max, code scanning, and architectural upgrades to Git.

GitHub recaps the GitHub Universe 2026 opening keynote, highlighting the new GitHub Copilot app, multi-model orchestration through Copilot Fusion, and autonomous task management in Copilot Projects. The video also covers Code Review Max for catching critical bugs and GitHub’s work to rebuild the core infrastructure underneath Git.

GitHub takes viewers inside Pimoroni’s factory to explore how the hackable GitHub Universe 2026 badge is manufactured. The video follows stencil printing, component placement, and solder reflow, and covers the handheld console’s capacitive touch controls, auto-flipping interface sensors, and custom firmware developed with GitHub Copilot.

GitHub demonstrates a hands-on workflow for going from a GitHub issue prompt to a deployed AI agent inside the GitHub Copilot app, using Azure AI Foundry tooling to provision resources, deploy a model, validate grounding to reduce hallucinations, and ship a secure proxy plus a website chat widget.

GitHub explains how GitHub Copilot approvals can help teams avoid routine pull request review bottlenecks by letting Copilot provide delegated review approvals that count toward merge protection rules, while still combining that automated assessment with a human approval to satisfy branch requirements.

GitHub shares a September platform update roundup covering Project HydraFusion’s expansion to VS Code and the GitHub Copilot app, plus new workflow features like local sandboxing GA, automated PR approvals that can satisfy merge gates, and bulk autofix for CodeQL findings.

GitHub shows how to fix repository issues from inside JetBrains IntelliJ by installing the GitHub Copilot plugin, browsing open GitHub issues, and using Copilot to generate an implementation plan and apply the changes with its coding agent.

GitHub demonstrates an end-to-end workflow for taking an open GitHub issue to a pull request using GitHub Copilot inside JetBrains IntelliJ IDEA, including installing the plugin, planning the work, implementing a fix, reviewing changes, and validating accessibility.

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.

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.

GitHub explains why making stacked pull requests a native feature is more than just linking PRs and merging them in order, and how it required changes to core merge architecture and legacy systems.

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.

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.

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.

GitHub explains how PR limits can reduce low-quality pull requests and automated spam (“AI slop”) by letting maintainers cap the number of open PRs from external contributors, with upcoming options like counting draft PRs and allowing trusted users to bypass limits.

GitHub introduces gh-secure, a one-command tool from the GitHub Security Lab aimed at improving basic repository security hygiene by helping prevent secrets from being leaked into public code, with usage via the Copilot app, Copilot CLI, or GitHub CLI.

dotnet shares the GitHub Universe Day 2 keynote, focused on the people who build in the open, with open source voices, demos, and a lead-in to the Universe Insider session for deeper dives on the day’s announcements.

dotnet shares the GitHub Universe Day 1 opening keynote, focused on GitHub’s view of the next era of software and the developer workflows and tools GitHub is building, including announcements and live demos across the GitHub platform and GitHub Copilot.

GitHub introduces how the GitHub Copilot app can stay involved after a pull request is opened, automatically fixing CI failures and addressing reviewer comments so changes can move toward merge with less manual back-and-forth.

GitHub demonstrates how to connect the GitHub Copilot app to Windows Subsystem for Linux (WSL) so you can run Copilot coding agents directly inside an Ubuntu environment, handle parallel feature requests with Git worktrees, preview changes in an in-app browser, and verify diffs without leaving the app.

GitHub shows how maintainers can automate issue triage using GitHub issue intents, including confidence thresholds, reviewing agent reasoning, and auto-applying routine metadata updates while keeping humans in control.

GitHub introduces Canvas in the GitHub Copilot app, showing how developers can describe a workspace UI in plain language and have Copilot generate interactive tools like dashboards and issue trackers without writing UI code.

GitHub shares a short clip from the GitHub Podcast discussing the idea that developers may be “mourning” the craft of manually writing software as AI coding tools become more common, and whether traditional coding skills are actually losing value in day-to-day engineering work.

GitHub shows how the GitHub Copilot app can automate a daily pull request review workflow by grouping dependency update PRs by risk, checking CI build statuses, and summarizing what looks safe to merge.

GitHub explains how teams can move beyond basic AI code completion and chat to agentic workflows that automate real engineering tasks. The video highlights an internal GitHub example that automates a documentation lifecycle across multiple repositories using an agentic workflow approach.

GitHub discusses how organizations can respond when developers adopt unapproved AI coding tools, focusing on practical governance approaches that keep teams moving while reducing risk.

GitHub shares a short clip from the GitHub Podcast discussing whether needing to fine-tune an AI model just to work effectively with a codebase is a sign of deeper codebase structure and maintainability issues.

GitHub hosts Cassidy and GPS discuss common AI “hot takes” aimed at developers, including whether reading code still matters, how hiring expectations are changing, and whether ideas like MCP and RAG are being misunderstood or prematurely declared “dead.”

GitHub shows how to hand off an active GitHub Copilot app session into VS Code so you can keep working in your editor without losing context, including the task plan, conversation history, diffs, and an isolated git worktree, then push changes back to a pull request.

GitHub shares three practical workflow changes to reduce review fatigue and keep pull request backlogs under control when teams adopt AI coding tools, focusing on better prompt inputs, smaller changes via stacked PRs, and shifting reviews toward assessment rather than line-by-line editing.

GitHub introduces CVE Lite CLI, a local dependency vulnerability scanner for JavaScript and TypeScript projects, highlighting how it classifies direct vs transitive issues, validates fix versions with OSV, and outputs exact upgrade commands across npm, pnpm, Yarn, and Bun.

GitHub explains how hill climbing can be used to iteratively improve AI agent performance by running targeted evals, benchmarking results, and using the feedback loop to steer responses toward higher accuracy over time.

GitHub spotlights the open source project DocumentDB as part of its Open Source Friday series, focusing on the project and its place in the broader open source ecosystem.

GitHub shows how to use the new attach flag in the GitHub CLI to add images directly to pull requests and issues, making it easier to share screenshots and other visual context during reviews and issue triage.

GitHub demonstrates how to use the GitHub CLI’s new --attach flag to upload screenshots and videos directly to issues, pull requests, and comments. The walkthrough shows an automated Playwright-based workflow that captures failure evidence and attaches before-and-after media to support bug reports and PR reviews.

GitHub explains how to make GitHub Copilot work better in a real project by giving it durable context about your repo. It covers adding custom instructions under .github, defining repeatable “skills” for tasks like testing, using custom agents for bigger workflows, and connecting MCP servers such as Playwright.

GitHub highlights research by Louis Abraham on how AI tools are influencing the language developers use in GitHub pull request descriptions, based on analysis of more than 460,000 PR descriptions and the rise of distinctive AI-associated terms and punctuation patterns.