Agent Speedrun: Idea → Code → Deploy → Observe, Fix → Ship

Dan Ndombe

SBX 101: Hands-on with Docker Sandboxes

Modern AI agents are useful because they take real actions in the real world and on your machine: read files, run commands, hit the web, build containers, write and publish code.

• Agents
• Agentic AI
• Docker
• Governance

Jason Stine

Local AI Workshop for Beginners: Private ChatGPT Experience on Your Own Computer

Ever feel uncomfortable about sharing too much personal info with ChatGPT/Gemini/Claude but still want AI’s help?

• AI Models
• Agents
• Agentic AI
• Open Source

Duan Lightfoot

Agents That Own Their Inference: Building Production AI Agents on Dedicated GPUs

Every production agent today is renting its intelligence.

• AI Models
• Agents
• Agentic AI
• Infrastructure

Vibe-code an App on Multimodal AI Analytics

Learn how to search through video, audio and flat files from SQL statements to equip your applications and agents with multimodal analysis.

Michael Irwin

The AI-Ready Developer Environment — Local Setup, Reproducibility, and Docker

Modern AI development adds a new layer of complexity to the development environment: agent harnesses, agent-specific developer tooling, MCP servers, external services, credentia…

• Agents
• Agentic AI
• Docker
• Governance

Apoorva Jaiswal +2 more

DeepAgents: Build Multi-Agent AI Systems That Actually Work

We've taught LangChain and LangGraph multi-agent workshops at Grace Hopper two years running to 200+ developers each time.

• Agents
• Agentic AI
• Generative AI (GenAI)
• LangChain

Javier Garza

AI Security Engineer Foundations

2-hour workshop on AI Security Engineer Foundations covering the following modules: - OWASP Top 10 for Agentic Applications - Addressing Shadow AI - AI Governance and Policy…

• AI Coding Assistants
• Claude
• DevSecOps
• Prompt Engineering

Oleg Šelajev

Docker's Agentic Platform: Sandboxes, MCP, and the Infrastructure of Autonomous Development

AI agents are only as capable as the environment they're allowed to act in.

• Agents
• Agentic AI
• Docker
• Governance

Ajeet Raina

Securing the Agentic Stack: Docker Hardened Images and Supply Chain Security

As agentic workflows give AI systems more autonomy to pull dependencies, build environments, and invoke tools, the security of your container foundation has never mattered more.

• Agents
• Agentic AI
• Docker
• Governance

Christina Lin

Architecting Multi-Agent Teams: Mastering the Orchestration Patterns of ADK 2

This hands-on workshop covers the primary orchestration patterns in ADK 2: graph workflows, collaborative agent teams, and dynamic (LLM-shaped) workflows.

• AI Models
• Agents
• Workflows

Optimizing Coffee Stand Locations with Gemma 4 and BigQuery

Learn how to leverage open-weights models and data warehousing to solve a spatial analytics problem: finding the most profitable locations for new coffee stands.

• AI Models
• DevOps
• Google Cloud (GCP)
• Retrieval-Augmented Generation (RAG)

Maezza Romero

Creating and Sustaining Positive Communities

Maezza Romero, Community Developer for Romero Games, has been shaping communities from the ground up for 6+ years.

• Accessibility
• Advocacy
• Communication
• Community

Baruch Sadogursky +1 more

RoboCoders: Judgment Day: AI-Assisted Engineering Applied - The Battle of Agents

Agentic AI-assisted engineering tools promise cleaner code, faster development, and fewer late-night debugging sessions.

• AI Coding Assistants
• AI Models
• AI Standards

Pamela Fox

Exploring MCP Servers with GitHub Copilot

Model Context Protocol (MCP) is an open standard that lets AI agents like GitHub Copilot tap into external tools, services, and your own account data.

• Agentic AI
• Copilot
• GitHub

Brian McFadden

Ducks, Sensors, and Agents

By the end of this workshop, attendees will be able to: 1.

• AI Coding Assistants
• Agentic AI
• Arduino
• Edge AI

Lizzie Siegle +1 more

The Developer's Guide to an Agentic Git Forge

Coding agents help us write code quickly, but they’ve introduced a new challenge: ensuring developers can understand, trust, and maintain agent-generated code.

• Agentic AI
• Code Reviews
• Collaboration
• Data Pipelines

Abbe Piels

Hands-On CI Optimization Workshop

A tactical, hands-on session where attendees optimize a real build pipeline live with Blacksmith.

• CI/CD
• GitHub
• GitHub Actions
• Infrastructure

Austen Stone

GitHub Actions

Build a complete CI/CD pipeline for a pet adoption application in this hands-on workshop.

• GitHub
• GitHub Actions

Raphael Manke +1 more

From Signal to Action: Empowering Your AI SRE with OpenTelemetry Data

AI SRE agents are becoming the modern way to investigate alerts and incidents, but they are only as good as the telemetry they are fed.

• Agentic AI
• Distributed Systems
• Observability
• OpenTelemetry

Denise Kwan

Come with an Idea, Leave with an App: Build and Launch Your Website with AI

In this hands-on session, you will actually build, launch, and go home with a live website of your own.

• DevRel & Advocacy
• Firebase
• Google Cloud (GCP)

Benni Mack

Reprompting the Wheel? Why AI Won’t Save Your Content Platform

Everyone’s convinced a few good prompts can build a real platform.

• Internal Platforms
• Open Source
• PHP

Mudassir Syed

Practical Threat Modeling for Software Developers

Security isn’t just about firewalls and patches, it starts long before the first line of code is deployed.

• AppSec
• Cloud Security

Christopher Harrison

Agentic coding with GitHub Copilot CLI

With Copilot CLI, you can work with Copilot natively in your terminal, where you're already working, to request updates, run tests, and perform tasks.

• Agentic AI
• Copilot
• GitHub

Alan Torrance

Insert Coin: Build Live with J.P. Morgan Payments APIs and AI

Insert coin to play.

• APIs
• Agentic AI
• Claude
• eCommerce

Greg Larkin

Intro to Agentic Workflows and an AI-enabled SDLC

In this workshop, we’ll build a practical AI-powered issue triage workflow using GitHub Agentic Workflows.

• AI Coding Assistants
• AI Standards
• Agentic AI
• CI/CD

Mirela Viersa

Human + AI: Who Should Be in Control?

Explore how to design autonomous solutions by deciding what AI should do independently—and where humans should stay in control.

• AI Standards

Rishab Kumar

Build a Voice AI Agent with Twilio Agent Connect and Gemini Flash

You will build a working voice AI agent from scratch in under 120 minutes.

• AI Models
• Agentic AI
• Gemini
• Generative AI (GenAI)

Elizabeth Fuentes Leone +1 more

Agent Speedrun: Idea → Code → Deploy → Observe, Fix → Ship

One agent.

• AWS
• Agentic AI
• Code Generation
• Infrastructure as Code (IaC)

Kristiyan Velkov

Docker sandboxes: protect your secrets, tokens, and personal data from AI agent mistakes

The number of cyber attacks and security risks related to Coding Agents has sky rocketed.

• AI Coding Assistants
• AI Models
• Cloud Security
• Docker

Phil Conway

Build a Human + AI Agent Team in tools like Slack, Teams and Discord.

AI agents are getting better at doing work, but most still work alone, separated from the people and other agents they need to collaborate with.

• Agents
• Agentic AI
• Best Practices
• Claude

Meredith Eisen +1 more

The AI Dependency Challenge: Your AI coding assistant is making dependency decisions. Who’s checking

AI coding assistants and agents are helping developers move faster, but they can also create more dependency work: outdated packages, poor upgrade paths, broken builds, and reme…

• AI Coding Assistants
• AI Models
• Anthropic
• AppSec

Aldan Creo

Attacking LLM Detectors with Homoglyph-Based Attacks

This session explores an attack vector, homoglyph-based attacks, that effectively evades state-of-the-art AI-generated text detectors.

• AI Models
• Generative AI (GenAI)
• Safety
• Security

Sam Jarvinen

Secure development from pull request to production with GitHub

Security should accelerate development—not become a late-stage gate or a pile of disconnected tools.

• Copilot
• GitHub
• GitHub Actions
• Secure Coding