// AI

Featured in Gründerszene/Business Insider Germany discussing my daily use of AI tools for productivity, focusing on the prompts I use to automate repetitive tasks.

In this stream, Chris catches up on several weeks of GitHub updates including the remote MCP server preview and Copilot coding agent for business users. The live coding session demonstrates adding internationalization to the Copilot Airways app using Copilot coding agent, custom VS Code chat modes for planning, and agent mode in Xcode for iOS development.

In this stream, Chris recaps announcements from Microsoft Build, reviews three weeks of GitHub changelog updates, and does a deep dive into Copilot coding agent using the Copilot Airways demo app. Topics include assigning issues to Copilot, reviewing AI-generated pull requests, MCP integration with Notion, and best practices for writing well-scoped GitHub issues.

In this stream, Chris builds a GitHub CLI extension (gh-demo) in Go from scratch using a spec-driven development approach with Copilot Agent Mode. Topics include bootstrapping a VS Code workspace with Copilot, test-driven development for a hydrate subcommand, and setting up GitHub Actions CI.

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.

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.