Events

An exploration of the current landscape and future directions of AI agents in software engineering, covering the transition from code completion to autonomous agents that plan, execute, and verify complex tasks.

An exploration of three distinct architectural approaches to building AI agents in Go: low-level integration with the GenAI SDK, middleware-driven flows using Genkit, and autonomous agent orchestration with the Agent Development Kit (ADK).

A practical deep dive into rendering interactive agent interfaces using A2UI and Web Components with ADK, covering architecture patterns, real-world lessons, and common pitfalls.

Presentation on developing autonomous AI agents in Go, walking through design patterns from low-level API calls with the GenAI SDK to structured workflows with Genkit and full agent systems with ADK.

Comprehensive workshop for Go developers exploring the Google GenAI SDK, function calling, embeddings, Model Context Protocol (MCP) integration, and vibe-coding a mini game with Gemini CLI.

This talk provides supporting material for a workshop focused on "vibe coding" a 2D game. It demonstrates how to build such a game using the Go programming language and the Gemini AI.

Deep dive into building rich, dynamic user interfaces for autonomous agents using A2UI and the Agent Development Kit (ADK).

Exploring modern AI-driven development workflows, developer tooling, and the evolution from code assistance to autonomous agent pair programming.

This talk explores the intersection of generative AI and art, questioning whether AI-generated art is merely 'slop'. It also draws a parallel between the evolution of generative art and the career progression of a software engineer.

Hands-on session demonstrating how to design and build interactive, multimodal agentic user interfaces with Google's ADK and A2UI framework.

An exploration of the current landscape and future directions of AI agents in software engineering. This talk covers the transition from simple code completion to autonomous agents that can plan, execute, and debug complex tasks.

Hands-on workshop demonstrating how to transform standard text-based LLM chatbots into interactive, rich web applications using the Agent Development Kit (ADK), AG-UI protocol, and A2UI to map agent outputs directly to dynamic web components.

An exploration of the current landscape and future directions of AI agents in software engineering. This talk covers the transition from simple code completion to autonomous agents that can plan, execute, and debug complex tasks.

Hands-on workshop exploring agentic coding workflows by designing, building, and deploying a playable retro arcade game with AI agents.

Live build demonstrating how natural language prompt engineering and AI coding agents can construct and deploy a full cloud-native game.

Training session exploring the current state and emerging patterns of AI agent-assisted software engineering, multi-agent workflows, and practical applications.

A walkthrough and practical demonstration of the top 5 developer codelabs from Google Cloud NEXT, highlighting key developer features and AI integration patterns.

This talk explores how to leverage ADK (Assistant Development Kit) and Gemini to create a personalized executive assistant. Attendees will learn the practical steps and tools involved in developing an AI-powered assistant to streamline their workflow.

Agent Development Kit (ADK) is an open source agent development framework built by Google. In this talk we are going to see how to leverage Vertex AI to make production-ready agents that include features like memory, session management, artifact management, RAG and others. The session will walk you through the development of an “Executive Assistant” agent that will learn not only about your tasks, but your preferences. Even if you have never built an agent before, in this talk you will learn how to quickly ramp up using Gemini CLI, the developer knowledge MCP and codewiki, for a truly modern agent development experience.

Training session exploring the current state and emerging patterns of AI agent-assisted software engineering, multi-agent workflows, and practical applications.

A deep dive into the design and implementation of GoDoctor, a specialized Model Context Protocol (MCP) server for Go. This talk explores how giving agents specialized tools can significantly improve their effectiveness and reliability.

Inspired by the "computer" in Star Trek, in this talk we are going to create a natural language diagnostic agent that can answer questions about your computer, from asking the number of cores and amount of memory installed to running a "Level 1 Diagnostic Procedure". This AI agent will be built step by step using Python, Vertex AI, Gemini and OSQuery.

Inspired by the "computer" in Star Trek, in this talk we are going to create a natural language diagnostic agent that can answer questions about your computer, from asking the number of cores and amount of memory installed to running a "Level 1 Diagnostic Procedure".

Hands-on workshop on building and deploying a Model Context Protocol (MCP) server to extend the capabilities of the Gemini CLI, transforming it into a specialized development expert.

As vibe coding quickly becomes the new buzzword we Gophers could not be left out of this party. In this talk I'm going to share my experiences while developing testquery - a tool to extract information from Go tests - starting from product ideation to the implementation.

Keynote presentation introducing the Model Context Protocol (MCP), exploring its core concepts, architecture, and the building blocks used to create AI-enabled applications with Go.

Keynote presentation at DevFest @ Bletchley Park 2025. Exploring the intersection of Go and Generative AI, demonstrating how to build robust, production-ready AI applications using the Go ecosystem.

Hands-on workshop on building and deploying a Model Context Protocol (MCP) server to extend the capabilities of the Gemini CLI, transforming it into a specialized development expert.

Inspired by the "computer" in Star Trek, in this talk we are going to create a natural language diagnostic agent that can answer questions about your computer, from asking the number of cores and amount of memory installed to running a "Level 1 Diagnostic Procedure".

The talk explores the evolving role of Gophers in the age of AI, focusing on extending language models with custom tools and integrating AI as a powerful extension of skills, using the Model Context Protocol (MCP) and live Go demonstrations.

Keynote presentation at The National Museum of Computing exploring the Model Context Protocol (MCP), its core architecture, and how AI agents and developer tooling are shaping the technical job roles of 2030.

This talk demonstrates how to build an AI agent step-by-step using Python, Vertex AI, Gemini, and Osquery. It explores how Osquery, a tool for exposing OS information via SQL, can be leveraged by large language models to enable advanced diagnostics through natural language queries, eliminating the need to memorize complex command lines.

As vibe coding quickly becomes the new buzzword we Gophers could not be left out of this party. In this talk I'm going to share my experiences while developing testquery - a tool to extract information from Go tests - starting from product ideation to the implementation.

Keynote presentation at GopherCon UK 2025. An introduction to the Model Context Protocol (MCP), exploring its core concepts, architecture, and the building blocks used to create AI-enabled applications with Go.

As vibe coding quickly becomes the new buzzword we Gophers could not be left out of this party. In this talk I'm going to share my experiences while developing testquery - a tool to extract information from Go tests - starting from product ideation to the implementation.

Hands-on workshop on building and deploying applications with the latest Gemini 2.x models, covering multimodal capabilities, tool use, and best practices for developer workflows.

Going beyond the basics to implement a 'hello world' API with production-grade documentation, logging, error handling, configuration, and testing.

An exploration of mutation testing in Go. Learn how to programmatically rewrite code to ensure your tests are actually catching bugs.