// AI

Chris explains what Model Context Protocol (MCP) is and demos the new GitHub MCP server alongside Copilot Agent Mode in VS Code. The stream covers creating repos and issues through MCP tools, then builds a strategy visualization app from a screenshot using agent mode, vision, and the Playwright and sequential thinking MCP servers.

Chris explores GitHub Models as an AI prototyping playground, demonstrates Copilot on the command line for learning Linux commands, and shows off a Cosmos DB-backed leaderboard for the OctoSnap game.

Chris introduces OctoSnap, a GitHub-themed memory card game built with Next.js, and dives deep into designing a scoring model with Copilot covering difficulty multipliers, time bonuses, and penalty mechanics.

This is a companion walkthrough for the hero Game of Life video that was published on the GitHub YouTube channel.

Builds Conway's Game of Life end-to-end using GitHub Copilot Chat and Copilot Edits in Visual Studio Code, demonstrating a realistic iterative AI-assisted development workflow. The video covers model selection (including Claude Sonnet 3.5), prompt engineering best practices, refactoring from a single-file prototype to separate HTML, CSS, and JavaScript files using Copilot Edits, and enforcing team coding standards with a Copilot instructions file. It also shows inline chat slash commands (/doc, /explain), Copilot Extensions, README generation, and deploying to GitHub Pages via a GitHub Actions workflow.

Demonstrates GitHub Spark on mobile, building a podcast session timer app entirely through natural language prompts. The video covers iteratively adding timer controls (start, pause, reset), a reverse progress bar, a color-coded time-remaining indicator (green/amber/red), and AI-powered timer creation from a plain-language description—showcasing GitHub Spark's built-in LLM integration. It also demonstrates Spark's managed state storage and the share link for giving collaborators read or write access.

Whether you’re addressing an issue, iterating on a pull request, or bootstrapping a project, GitHub Copilot Workspace helps jumpstart your tasks by describing what you want in natural language. You remain in control as you move between tasks, specs, plans, and code. Join GitHub's Chris Reddington, senior program manager of DevRel, and Cole Bemis, research engineer on GitHub Next, for an introduction to Copilot Workspace, a Copilot-native dev environment launched in April 2024 by GitHub Next. Learn how Copilot Workspace works, how we got here, and what we've learned so far from the technical preview.

Come to this session to be the first in the world to get a deep-dive demo of the exciting Claude 3.5 Sonnet model from Anthropic built right into GitHub Copilot. Learn what this powerful new model will help you achieve and why you should use it for your development teams.

Demonstrates GitHub Spark, an AI-native micro-app platform from GitHub Next that lets anyone build, use, and share personalized apps through natural language—without writing code or managing deployments. The video creates a city travel log app that captures reviews with GPS coordinates, plots destinations on a map, generates AI city suggestions based on existing ratings, and uses the variant generator to explore alternate UI directions from an ambiguous prompt. It also covers the built-in theme editor, state management, and revision history for iterating on app design.

Demonstrates the o1-preview reasoning model integrated into GitHub Copilot Chat in Visual Studio Code, available to approved users via the chat model picker alongside GPT-4o and o1 mini. The video builds a JavaScript maze generator that supports keyboard navigation, BFS and DFS solving algorithms, and visual path rendering—using o1-preview's extended internal reasoning to satisfy complex multi-requirement prompts in fewer iterations than standard models.