Content by github (358)

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.

Microsoft Developer shares the GitHub Universe Day 2 keynote, focused on building in the open with open source voices, live demos, and community-driven development themes.

Microsoft Developer hosts the GitHub Universe Day 1 keynote, covering GitHub’s view of the next era of software development and the tools and workflows GitHub is building to help developers ship faster, including announcements, live demos, and updates across the GitHub platform.

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.

GitHub explains why newer, larger AI models don’t automatically make better code reviewers, highlighting benchmark results where highly formatted, verbose reviews can still miss fundamental bugs.

GitHub shows how to attach images and videos to pull requests, issue comments, and issues directly from the terminal using the GitHub CLI. It highlights the new --attach flag, including how to provide a file path plus alt text so screenshots and recordings stay accessible in GitHub discussions.

GitHub introduces Project HydraFusion and shares benchmark results claiming higher verified task quality and lower estimated cost versus Claude Opus 5 on Terminal-Bench 2.1. The short also points developers to try HydraFusion as a selectable model via the /experimental feature in GitHub Copilot CLI.

GitHub introduces Project HydraFusion, a research preview for GitHub Copilot that orchestrates multiple AI models at runtime to balance quality, cost, and latency. The video explains how routing strategies like single, cascade, and critique workflows can automatically choose an execution path per task to improve outcomes without manual model selection.

GitHub shares a quick “The Download” roundup covering a new GitHub CLI capability for attaching images and videos to pull requests, plus several AI-related updates including local coding-agent models, large-scale LLM releases, and benchmarks and analyses focused on AI code review and PR-writing language.

GitHub explains the “AI harness” concept for guiding LLM execution, and how harness engineering adds the runtime, tools, and guardrails that let AI agents work safely against a codebase in agentic workflows.

GitHub’s podcast episode with Cassidy, Marlene, and GPS breaks down emerging AI terms—loop engineering, harness engineering, and squads—and connects them to practical agentic workflows, including how iteration loops affect cost and performance and how “open weight” differs from truly open source AI.

GitHub hosts a multi-hour Copilot Day live session covering new releases, hands-on demos, and practical workflows, including how Copilot works across GitHub, the CLI, and VS Code, plus a live-coding segment with Burke Holland, Pierce Boggan, and guests.

GitHub introduces a GitHub CLI update that lets developers attach local images or videos to issues, pull requests, and comments using a repeatable --attach flag, making it easier to share visual context directly in GitHub discussions.

GitHub runs a beginner-friendly virtual training on the GitHub Copilot SDK, focusing on how developers can programmatically interact with Copilot and build custom agent capabilities that fit their team’s workflows across multiple languages.

GitHub introduces canvases in the GitHub Copilot app and shows how beginners can use the /create-canvas skill to generate custom, interactive workflow surfaces like release checklists, kanban boards, and triage views, then iterate on them and share state in real time.