Guillaume Vernade from Google DeepMind demonstrates a full generative media pipeline, using Gemini to read a public domain book and act as a master prompt engineer for other models. Imagen generates character portraits, Veo animates scenes into video, Lyria composes a unique soundtrack for each chapter, and a clever TTS trick creates a multi-character audiobook.
Explore advanced techniques for building long-running AI agents, moving beyond simple loops. Learn why self-evaluation fails and adversarial evaluators succeed, how to manage context with structured handoffs instead of just compaction, and how to use negotiated 'sprint contracts' and detailed rubrics to build and test complex, full-stack applications autonomously.
Martin Fowler and Kent Beck, two authors of the Agile Manifesto, reunite for an unscripted conversation about their 30-year friendship and the evolution of software engineering. They delve into their practical, daily use of AI (the "Genie"), reflect on the legacy of Extreme Programming and the Agile Manifesto, and offer timeless advice to the next generation of developers.
AI agents are having a moment, and understanding MCP and ADK is key to building them well. Cedric Clyburn and Anna Gutowska explain how MCP powers tool integration while ADK structures reliable multi‑agent systems 🤖. Learn when to use each to build more capable and predictable AI agents.
A deep dive into AI harnesses, explaining how to build a programmatic environment around an LLM agent to ensure reliability without prompt engineering. The talk demonstrates building a harness for a browser agent to reliably log in and upvote a post on Hacker News using GPT-3.5 Turbo.
Lawrence Jones from Incident.io explains why their team needed AI to debug their complex AI SRE product. He details three powerful patterns: a CLI for agents to manage large evaluation files, serializing debug UIs into downloadable file systems for agent-based tracing, and multi-agent pipelines for fleet-scale failure analysis.