// AI

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.

As AI continues to reshape the way businesses innovate, the conversation shifts beyond the mere integration of new technology. Chris emphasizes that adopting AI-powered software development is a significant cultural shift, requiring more than just technical tools. It demands a top-down approach, where leadership support and change management are critical to fostering a progressive culture within development teams.

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.

Ready to explore our blueprint for AI-powered development? Join us to network with local tech leaders and learn the key to addressing tech debt, modernizing the software development lifecycle, and transforming your enterprise.

Ready to explore our blueprint for AI-powered development? Join us to network with local tech leaders and learn the key to addressing tech debt, modernizing the software development lifecycle, and transforming your enterprise.

Ready to explore our blueprint for AI-powered development? Join us to network with local tech leaders and learn the key to addressing tech debt, modernizing the software development lifecycle, and transforming your enterprise.