// GitHub Codespaces

In this episode, Chris reviews the GitHub Changelog covering organization-level Copilot custom instructions, CodeQL for Actions workflow security analysis, Copilot Code Review language expansion, secret scanning alert dismissals, and GitHub Mobile updates. The coding segment tackles theme switching for the Copilot Airways web app and a Tailwind CSS upgrade using GitHub Codespaces and Copilot Agent Mode.

A model-packed week — Chris walks through new releases including GPT-4.1, Gemini 2.5 Pro, O3, O4 mini, and Meta Llama 4 in Copilot and GitHub Models. He demos the strategy trend radar app, tries the new Codespaces agent mode button, and builds a GitHub Actions workflow that summarizes the changelog into a newsletter using GitHub Models.

Extending Rock Paper Scissors to include Lizard and Spock using GitHub Copilot Vision to interpret a game diagram. Also covers Claude 3.7 Sonnet in Copilot, Dependabot version updates for Go modules, GitHub Codespaces for testing, and repository branch protection settings.

Building on the gh-game CLI extension project, Chris sets up GitHub Codespaces with dev containers, creates a CI workflow using GitHub Actions, and writes Go tests. The stream covers refactoring the coin toss game to use the go-gh prompter package for interactive selection menus, with GitHub Copilot assisting across multiple AI models.

Deep dive into GitHub Actions workflows including build, linter, and release pipelines for the GitHub Skyline CLI extension. Chris cuts a live release, then creates a brand new GitHub CLI extension (gh-game) from scratch — building a coin toss game in Go using the Cobra package with help from GitHub Copilot.

Chris introduces the GitHub Skyline CLI extension, a Go-based tool that generates 3D STL models and ASCII art visualizations of your GitHub contribution history. The stream covers the gh skyline command, 3D printing contribution graphs, and live refactoring of the Go codebase using GitHub Copilot Edits to split a monolithic main.go into modular components.

Introduces GitHub Models on the GitHub Marketplace, a curated playground for exploring and comparing a range of top AI models using entitlements tied to your GitHub account. The video demos GPT-4o and phi-3 mini instruct side-by-side, shows how to tune system prompts and temperature in the interactive playground, and demonstrates calling model APIs from GitHub Codespaces and the GitHub CLI—all without requiring separate API keys or service sign-ups.

Demonstrates GitHub Copilot Workspace starting from a template repository to scaffold a to-do application, showing how AI can jumpstart creativity when starting a new project. The video walks through the full specification-to-plan workflow, iterating with a live app preview, and switching between Copilot Workspace and GitHub Codespaces to make direct code edits. It also covers the share feature for collaborating on work in progress and the automated first deployment via GitHub Actions.

GitHub is well-known for version control, and its work with the open source community. But did you know you can use GitHub throughout your development lifecycle? Join Chris Reddington from GitHub's Developer Relations team as he explores how you can use GitHub to plan, code, build, and deploy your work. Learn how the platform comes together in GitHub Issues, Projects, Codespaces, Actions, Copilot and Advanced Security!

Chris and Matt pick up inside GitHub Codespaces, getting the Player State service running locally on the first attempt thanks to Dapr's environment-variable secret store and Codespaces secrets. They then wire up the World Events Engine with Azure Storage Queue bindings and Table Storage state before hitting a stubborn .NET minimal API routing bug — becoming the cliffhanger that sets up the next session.